Consumer Internet of Things (CIoT)

This research outlines the development of an innovative hybrid energy harvesting system that integrates flowinduced vibrations (FIV), micro-hydrokinetic technology, and auxiliary renewable energy sources to power smart water infrastructure monitoring systems. The primary objective of this study is to combine vortexinduced vibration (VIV) energy converters with piezoelectric transducers and micro-turbines, thereby creating a comprehensive power generation framework for autonomous water distribution monitoring networks. By tapping into the abundant kinetic energy present in water flow systems, such as pipelines, channels, and small-scale waterways, this proposed system addresses the pressing need for a sustainable power supply for Internet of Things (IoT) sensors and monitoring devices in remote water infrastructure locations. The framework incorporates advanced materials, including high-performance piezoelectric composites and electromagnetic generators optimized for low-velocity flow conditions (0.5-3.0 m/s). Expected outcomes include the development of a scalable, maintenance-free energy harvesting platform capable of generating 1 to 50 milliwatts of power output, sufficient to support the continuous operation of wireless sensor networks in water resource management applications. This novel approach effectively bridges the gap between large-scale renewable energy systems and micro-scale energy harvesting technologies, providing a practical solution for sustainable water infrastructure monitoring in both urban and rural contexts.

Devastating environmental issues and the cost of replacement of batteries in autonomous low-powered electrical, electronic, and mechatronic systems, the interest in ambient energy harvesting has witnessed steady growth recently. The maximization and utilization of these ecofriendly energies have given rise to efficient hybrid energy harvesting, which involves the combination of two or more standalone energy harvesting mechanisms such as Vibrational, thermoelectric, pyroelectric, photovoltaic, etc. The comparison of the recent development, applications, and challenges of the major standalone and hybrid harvesting mechanisms in both large and small-scale mechanisms are the main emphasis of this article. Also, this review holistically discussed the latest optimal techniques utilized in hybrid energy harvesting mechanisms for the effective performance of systems and to guarantee stable power to autonomous electronics and wireless sensor networks. The study will help research scholars to understand and focus on the high-potential techniques to achieve maximum power from hybrid harvesters.

The Internet of Things (IoT) devices are creating unprecedented opportunities in many fields, including healthcare, smart cities, and industrial automation. The critical challenge faced by IoT devices is energy consumption, as most of them are resource-constrained. Energy-efficient communication protocols can be used to extend the life span of devices and make their operation sustainable. This paper explores strategies for reducing power consumption in IoT communications, which could be achieved by focusing on protocol optimization at the data link, network, and transport layers. Techniques like duty cycling, adaptive modulation, data aggregation, and lightweight encryption mechanisms are addressed in detail with regard to their role in minimizing energy expenditure without compromising data integrity or security. Low-power wireless technologies like BLE, Zigbee, LoRa, and NB-IoT are evaluated for energy efficiency in different application scenarios. The integration of machine learning for dynamic power management and predictive maintenance is also highlighted as a promising direction for future energy-efficient IoT communication. By intelligently adapting transmission parameters based on real-time network conditions, IoT devices can significantly reduce unnecessary energy consumption. Furthermore, the role of energy harvesting in complementing efficient communication protocols is examined, offering a holistic approach to sustainable IoT deployment. Through comprehensive analysis and comparative studies, this work aims to provide insights into the development of next-generation IoT systems that are both power-efficient and reliable. Ultimately, the adoption of energy-aware communication protocols can foster long-term viability and scalability in IoT ecosystems.

The advent of 5G networks has revolutionized telecommunications, offering unprecedented speed, ultra-low latency, and massive connectivity. However, realizing these capabilities requires sophisticated signal processing to overcome complex channel conditions, interference, and hardware impairments. AI-powered signal processing techniques have emerged as a transformative solution, leveraging machine learning (ML) and deep learning (DL) models to enhance performance across various signal processing tasks such as channel estimation, interference management, beamforming, and modulation classification. Traditional signal processing depends on predefined mathematical models and assumptions, which might not be able to capture the dynamic and complex nature of 5G environments. In contrast, AI-driven approaches can adapt to varying conditions by learning from real-time data, hence offering better accuracy, robustness, and efficiency. Supervised and unsupervised ML models are used for tasks such as noise reduction and signal detection, while reinforcement learning helps optimize resource allocation and network scheduling. Besides, neural networks can approximate any non-linear transformations, which brings improved receiver design for Massive MIMO systems. In terms of signal demodulation and decoding, deep learning models like convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have been proved to show promising results. In addition, AI-powered signal processing enables real-time decision-making in 5G use cases such as autonomous vehicles and industrial automation. The main goal of this paper is to overview the use of AI in signal processing for 5G networks by addressing the key techniques, performance enhancements, and future research directions. With the combination of AI into traditional signal processing, next-generation networks can become more reliable, efficient, and flexible under different operation environments.

Wireless power transfer has been proposed as a key technology for the foreseen machine type networks. A main challenge in the research community lies in acquiring a simple yet accurate model to capture the energy harvesting performance. In this work, we focus on a half-wave rectifier and based on circuit analysis we provide the actual output of the circuit which accounts for the memory introduced by the capacitor. The provided expressions are also validated through circuit simulations on ADS. Then, the half-wave rectifier is used as an integrated simultaneous wireless information and power transfer receiver where the circuit's output is used for decoding information based on amplitude modulation. We investigate the bit error rate performance based on two detection schemes: (i) symbol-by-symbol maximum likelihood (ML); and (ii) ML sequence detection (MLSD). We show that the symbol period is critical due to the intersymbol interference induced by circuit. Our results reveal that MLSD is necessary towards improving the error probability and achieving higher data rates. Index Terms-wireless power transfer, half-wave rectifier, circuit analysis, integrated SWIPT receiver.

Energy scavenging represents a promising technology, especially when considering the powering of IoT (Internet of Things) devices in challenging environments where conventional power sources deploying are impractical. This research introduces an affordable and lightweight energy scavenging mechanism customized for resource-constrained IoT devices in harsh environments. Our method integrates solar and kinetic energy scavenging, meticulously engineered to operate effectively across a broad spectrum of harsh environmental conditions. Within the realm of energy scavenging mechanisms for resource-constrained IoT devices grappling with unfavorable situations, there exists a substantial demand for budget-friendly and lightweight solutions to energize microcontrollers in extreme environments. This study reveals a mechanism that facilitates energy scavenging for IoT in such environments, e.g., powering IoT devices for the supervision of rail tracks in long open areas, monitoring of oil pipelines in dry deserts, and deployment of IoT sensors near volatile geological formations, etc. Our proposed solution provides a sustainable and efficient means to power microcontrollers, ensuring continuous functionality in remote and challenging settings, while underscoring its cost-effectiveness.

Scheduling is the process of arranging, controlling, and optimizing work activity in a process of a construction project. The estimating of activity duration involves assessing the number of work periods likely to be needed to complete each identified activity. Estimating activity duration is probably the most difficult aspect of scheduling Irrigation and Drainage Projects. It is like estimating the cost of an activity. The aim of this paper is to develop a mathematical model for predicting the duration of Irrigation and Drainage Projects in the Republic of Iraq using the Artificial Neural Network (ANN) technique, as a case study, one hundred fifty Irrigation, and Drainage projects were selected in order to identify and prediction of the duration. Only two ANN model was built to predict the duration of the activities of implementation and Maintenance. The first model which has seven factors was adapted to develop the implementation duration model [LC: Length of the Channel (m.l); C. A: Amount of the Contract (I.D); FI: Fill (m3 ); CU: Cut (m3); A.C: Area of the Concrete (m2); T.H: Thickness of the Concrete (cm)], while the second model that has seven factors was adapted to develop the Maintenance duration model [L: Length of Channel ( m.l); C: Cost of Maintenance (I.D); P.R.O: Productivity (m3)] . It was concluded that the ANN technique showed good estimation results. The results were interpreted in terms of the implementation of irrigation and drainage projects as AA99.17% and R which were 99.4%, respectively. As for the maintenance of irrigation and drainage projects, it was AA 89.337%. R 95.3%.

Piezoelectric energy-harvesting systems are a promising way to convert mechanical energy from the environment into usable electrical power. This review paper examines the key factors, methodologies, and recent developments in designing and improving these systems to increase efficiency and power output. It covers the basic principles of piezoelectricity, including the properties of materials and how they convert energy, with a focus on selecting better materials. And also discusses the importance of system design, especially how mechanical vibration can improve power output. It explores strategies such as adjusting the frequency, matching the load, and vehicle speed. It also responds to the optimization of circuit design for better power conversion, including rectification, power conditioning, and techniques such as maximum power point tracking (MPPT). This paper reviews the key challenges in piezoelectric energy harvesting, including low power output, sensitivity to environmental changes, and difficulties in scaling the systems for larger applications. It also proposes potential solutions to these issues. The research examines and evaluates the performance of various piezoelectric systems, using case studies that illustrate their practical applications. The analysis concludes by looking at new trends and potential developments such as the development of multifunctional materials, integration with smart grids, and the development of self-powered Internet of Things (IoT). Overall, this study provides useful information about the future of piezoelectric energy harvesting and its potential contribution to the renewable energy sector.

Internet of Things (IoT) has revolutionized various industries with interconnected smart embedded devices featuring sensors and actuators. However, providing a sustainable power supply for these devices is a significant hurdle. The finite lifespan of traditional batteries necessitates frequent replacements, leading to increased maintenance costs, downtime, and environmental concerns associated with battery disposal. Energy harvesting offers an admirable alternative by converting ambient energy into usable electrical energy, enabling IoT devices to operate autonomously and sustainably, reducing maintenance needs, and enhancing reliability. Despite their diversity, energy harvesters face common limitations, such as variable energy availability, limited power output, and high initial costs. Recognizing these limitations is essential for informed decisions regarding their use in sustainable IoT applications and their communication performance. Due to the lack of a comprehensive and inclusive study in this context, this article gives an extensive survey on energy-harvesting technologies and their applications in IoT. By drawing insights from over 400 recent publications, this article first introduces a taxonomy by categorizing the existing technologies based on their energy sources into five general domains, i.e., photovoltaic, vibration and kinetic, radio frequency, thermoelectric, and chemical and biological. Then, it expands this categorization into 11 subdomains and delves into the working principles of every technology. Besides surveying potential IoT applications, this comprehensive study covers simulation-facilitating mathematical models, pros, cons, and commercial-off-the-shelf modules for each harvesting technology. It also includes evaluative simulations to analyze their output power behavior, focusing on their impact on wireless communication performance. Finally, by discussing the existing research trends, the survey aims to provide informed decision making and foster the development of innovative, sustainable IoT solutions for a green future.

eHealth or Digital health is the pioneer project funded by Government of India and Department of Health and Family Welfare, Government of Kerala, designed to provide residents of Kerala with convenient centralized healthcare system. It describes the integration of information technology and electronic communications used for different healthcare processes for people's health and their wellbeing. It has introduced since 1920s as Telemedicine and later it expanded in 2009 as e-Health due to advancement of technology. When the countries healthcare industry was facing tough times, we observed that the e-Health came to the rescue of many times during multiple waves of the pandemic. This study mainly focusses on analysing various digital health initiatives by MHFW and an attempt has been made to know what are telemedicine schemes, web portals and mobile applications and global digital health agenda used for implementation of digital health and how far it benefited in the pandemic days.

Many applications have been developed in wireless sensor networks (WSN). The rapidly growing WSN causes different issues in the applications. One of the most important issues affecting the channel performance is the security issues. Therefore, to overcome this security issues in WSN, an intelligent crypto mechanism is required. Hence, a novel recurrent-based Public Crypto System (RbPCS) is proposed in this paper. Here, the recurrent function in the public cryptosystem identifies the malicious users and neglects them. Moreover, the proposed technique helps hide the data from third parties. Also, it reduces energy consumption by ignoring the high-power consumption nodes. The proposed technique is implemented in a network simulator (NS2) environment. Furthermore, the robustness of the proposed technique is determined by launching security attacks in the WSN communication channel. Moreover, the performances of the designed model are estimated in terms of communication delay, energy consumption, packet drop, packet delivery, and throughput ratio. Finally, the outcomes of the developed model are compared with other existing techniques. The comparative analysis clearly shows that the proposed model achieved a high throughput ratio, less energy consumption, and communication delay.

The Cellular Internet of Things (CIoT) has seen significant growth in recent years. With the deployment of 5G, it has become essential to reduce the power consumption of these devices for long-term sustainability. The upcoming 6G cellular network introduces the concept of zero-energy CIoT devices, which do not require batteries or manual charging. This paper focuses on these devices, providing insight into their feasibility and practical implementation. The paper examines how CIoT devices use simultaneous wireless information and power transfer, beamforming, and backscatter communication techniques. It also analyzes the potential use of energy harvesting and power management in zeroenergy CIoT devices. Furthermore, the paper explores how low-power transceivers can lower energy usage while maintaining dependable communication functions.

With the rise of IoT, we are about to experience radical changes in the way we live and work. The growth of consumer IoT market, however, is reported to be slower than was originally expected. Analysts report that relentless realities caused by a premature user experience (UX) such as the use of unfamiliar techy terms, lack of empathic understandings of user needs, or lack of interoperability are among the worst barriers of consumer adoption. This is why UX is now considered crucial to the success of IoT business. The goal of this study is to address some UX challenges in the upcoming connected age and to suggest the desirable research directions. A systematic review and meta-analysis study was conducted to obtain the background data. This study is expected to ignite constructive discussions on how to make the IoT world more people-friendly.

In the current context, the importance of having human capital capable of responding in a concrete and effective way to events that require a research profile has become evident, being essential to have the ability to materialize intellectual virtues in favor of general well-being. However, this is a difficult objective to carry out, provided that there is a lack of scientific training aimed at encouraging future professionals to be high-level researchers, explained by the significant differences between the transversal competences that they should have, in this case, in university higher education. Mainly, the cognitive instrumental competences, manifest the basic and essential characteristics, highly linked to the development of the scientific method. In this sense, the present work shows the diagnosis started in march 2019 and concluded in april 2020, regarding the existing heterogeneity in the cognitive competences for research that the participants should have (ideally), regarding what they manifest when they are in the process of preparing a thesis (actual status); as part of the research courses in the business sciences career and within the framework of the andragogic learning process.

It is a well-known fact that consumers may gain significant benefits from the effective use of IoT in pandemic and post-pandemic settings. Security vulnerabilities can be seen in the ever-increasing Internet of Things (IoT) ecosystem from cloud to edge, which is crucial to note in this particular circumstance. Most merchants, even luxury stores, have failed to implement robust IoT cyber security procedures. Therefore, the researchers sought to put forth secondary research methodologies to bring forward efficient scrutiny regarding this particular issue to properly comprehend the influence of IoT in various devices, including a smartwatch, power displaying metre, brilliant weight showing gadgets and many more. The secondary research approach allowed the researchers to collect a large quantity of data quickly, acquiring a wide range of possible solutions for security and privacy issues in Consumer IoT (CIoT) devices. Secondary research also will enable scholars to compare and contrast...

The Web of Things is an improvement on the Internet of Things (IoT) that incorporates smart objects into both the web architecture (application) and the internet (network). WoT applications are inescapable in residential homes and communities. The intent behind WoT applications is to increase sustainable development for reducing resource consumption. The Web of Things (WoT) aims to create a decentralized Internet of Things. Edge computing addresses IoT computing demands by reducing the escalation in resource congestion situations. In edge computing data is placed closed to the end users which diverts computation load from the centralized data centers. Furthermore, the dispersed structure balances network traffic and minimizes traffic peaks in IoT networks. Therefore, resulting in reducing transmission delays between edge servers and end users which improves response times for real-time WoT applications. Low battery supply to nodes with enough power resources can increase the lifespa...

The Web of Things is an improvement on the Internet of Things (IoT) that incorporates smart objects into both the web architecture (application) and the internet (network). WoT applications are inescapable in residential homes and communities. The intent behind WoT applications is to increase sustainable development for reducing resource consumption. The Web of Things (WoT) aims to create a decentralized Internet of Things. Edge computing addresses IoT computing demands by reducing the escalation in resource congestion situations. In edge computing data is placed closed to the end users which diverts computation load from the centralized data centers. Furthermore, the dispersed structure balances network traffic and minimizes traffic peaks in IoT networks. Therefore, resulting in reducing transmission delays between edge servers and end users which improves response times for real-time WoT applications. Low battery supply to nodes with enough power resources can increase the lifespa...

The advancement in nanotechnology has affected different fields of technologies. One of these fields is the IoT, which represents a new version of the internet, and so that a new descendent of IoT has emerged and named the Internet of Nano Things (IoNT). Today, IoNT is utilized in many aspects of life, such as smart cities, industries, infrastructure maintenance and monitoring, healthcare services and others. More, IoNT applications could be a must solution in certain cases such as in the healthcare field. However, to apply IoNT systems in real life, some challenges have to be considered such as communication methods, security, and privacy issues. In that regard, this article aims to discuss the security issues in IoNT and suggest solutions for them in light of some recently published studies. In addition, the main features of security in IoNT are discussed and the most challenging problems are identified. Eventually, since the IoNT technology is still considered in the starting steps, the research in this area could be helpful to other interested researchers.

The advancement in nanotechnology has affected different fields of technologies. One of these fields is the IoT, which represents a new version of the internet, and so that a new descendent of IoT has emerged and named the Internet of Nano Things (IoNT). Today, IoNT is utilized in many aspects of life, such as smart cities, industries, infrastructure maintenance and monitoring, healthcare services and others. More, IoNT applications could be a must solution in certain cases such as in the healthcare field. However, to apply IoNT systems in real life, some challenges have to be considered such as communication methods, security, and privacy issues. In that regard, this article aims to discuss the security issues in IoNT and suggest solutions for them in light of some recently published studies. In addition, the main features of security in IoNT are discussed and the most challenging problems are identified. Eventually, since the IoNT technology is still considered in the starting steps, the research in this area could be helpful to other interested researchers.

The integration of artificial intelligence (AI) and the Internet of Things (IoT) in the power generation and distribution industry presents opportunities and challenges, particularly in the area of cybersecurity. Previous studies have explored the potential of AI to enhance cybersecurity in power systems, but limitations in terms of sample size and scope have hindered a comprehensive understanding of the current state of the field. To address this gap, this paper presents a systematic literature review of 30 papers that analyzes and categorizes relevant research based on their focus on threats, solutions, and future trends. The results indicate that 30 articles provide evidence supporting the use of AI and machine learning techniques to significantly enhance cybersecurity in the power sector. However, the study also highlights the need for continuous monitoring, threat intelligence, and risk management to stay ahead of evolving threats. Notably, this paper provides novel insights into the use of cybersecurity measures, blockchain technology, and awareness of the impact of AI in the power sector, with 90% of organizations using cybersecurity measures, 50% employing blockchain technology, 20% experiencing a cyberattack, and 60% being aware of the impact of AI. The study's limitations include a lack of detailed information on the organizations studied, such as their size and location, and the absence of a standardized approach to data collection across the selected papers. Nonetheless, this paper offers a valuable contribution to the field of AI and cybersecurity in the power industry by providing a comprehensive overview of the current state of research and identifying key areas for further investigation.

The current statuses and future promises of the Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey is presented. The analysis clearly distinguishes between IoT and IoE, which are wrongly considered to be the same by many commentators. After evaluating the current trends of advancement in the fields of IoT, IoE and IoNT, this paper identifies the 21 most significant current and future challenges as well as scenarios for the possible future expansion of their applications. Despite possible negative aspects of these developments, there are grounds for general optimism about the coming technologies. Certainly, many tedious tasks can be taken over by IoT devices. However, the dangers of criminal and other nefarious activities, plus those of hardware and software errors, pose major challenges that are a priority for further research. Major specific priority issues for research are identified.

The current pandemic situation has led researchers to rethink the conventional agricultural process. Nowadays, conventional agricultural processes are being replaced with an advanced Internet of Things (IoT)-based technology to reduce mass gathering in fields. Moreover, the advancement of technology is essential to feed the 7 billion people around the world. Thus, researchers developed several IoT devices that come under the Consumer IoT or CIoT devices which help the farmers to monitor farm performance and activities remotely. During the remote monitoring processes, the wireless CIoT devices gained privacy and security threats which became a major concern. Thus, besides gaining a competitive advantage in agriculture, minimising privacy and security threats is also essential in this pandemic. This research is going to understand the recent CIoT devices, their privacy and data protection approaches, challenges and mitigation strategies. The researchers have conducted secondary research using

The current statuses and future promises of the Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey is presented. The analysis clearly distinguishes between IoT and IoE, which are wrongly considered to be the same by many commentators. After evaluating the current trends of advancement in the fields of IoT, IoE and IoNT, this paper identifies the 21 most significant current and future challenges as well as scenarios for the possible future expansion of their applications. Despite possible negative aspects of these developments, there are grounds for general optimism about the coming technologies. Certainly, many tedious tasks can be taken over by IoT devices. However, the dangers of criminal and other nefarious activities, plus those of hardware and software errors, pose major challenges that are a priority for further research. Major specific priority issues for research are identified.

The arrival of the internet of things has transformed the day to day functionality of each life’s intensely. Internet of things has provided countless new opportunity to create a powerful industrialized structure and many more. Several IoT applications have been implemented and deployed in the modern years. As the research currently going on in the field of IoT. Nanotechnology has taken essential steps to get linked with Internet of Things that may perhaps take energy efficiency, medications and many various subdivisions to entire new dimension. Nanotechnology offers the latest solutions for not just a particular application, but for numerous applications such as observing of health, smart cities, military, farming, environmental monitoring and other industries. The correlation of nano scale gadgets and nano sensors with standard network and eventually with the internet terms a new networking model called as Internet of Nano Things which is also known as IoNT. The core point of this...

Internet of nano things (IoNT) is a new and modern part of the internet of things (IoT). Applications that operate in the field of nano scale show a new advantage in communication networks. IoNT opened the door to many applications in various fields with new features derived from the advantages of nanotechnology. In this work, a description of the IoNT during 2015-2021 was achieved, including taxonomy, architecture, motives, applications and challenges, in addition to recommendations. The architecture of the IoNT and the most important technologies used in Nano communication networks have been identified, with an indication of the advantages of each. This study, we hope, will make a contribution to this field of science, thus contributing to providing assistance to researchers in this emerging field and covering the challenges they face in this way. That would permit communication between nano-devices to be conventional, making these calibrations to be implemented in various IoNT ap...

The current statuses and future promises of the Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey is presented. The analysis clearly distinguishes between IoT and IoE, which are wrongly considered to be the same by many commentators. After evaluating the current trends of advancement in the fields of IoT, IoE and IoNT, this paper identifies the 21 most significant current and future challenges as well as scenarios for the possible future expansion of their applications. Despite possible negative aspects of these developments, there are grounds for general optimism about the coming technologies. Certainly, many tedious tasks can be taken over by IoT devices. However, the dangers of criminal and other nefarious activities, plus those of hardware and software errors, pose major challenges that are a priority for further research. Major specific priority issues for research are identified.

It is a well-known fact that consumers may gain significant benefits from the effective use of IoT in pandemic and post-pandemic settings. Security vulnerabilities can be seen in the ever-increasing Internet of Things (IoT) ecosystem from cloud to edge, which is crucial to note in this particular circumstance. Most merchants, even luxury stores, have failed to implement robust IoT cyber security procedures. Therefore, the researchers sought to put forth secondary research methodologies to bring forward efficient scrutiny regarding this particular issue to properly comprehend the influence of IoT in various devices, including a smartwatch, power displaying metre, brilliant weight showing gadgets and many more. The secondary research approach allowed the researchers to collect a large quantity of data quickly, acquiring a wide range of possible solutions for security and privacy issues in Consumer IoT (CIoT) devices. Secondary research also will enable scholars to compare and contrast several papers' philosophies and research findings to get a quick conclusion. To gather information, the researchers used publications and the internet efficiently. In this situation, it helped to save a significant amount of time.
Findings suggested that vulnerabilities occur in smart IoT gadgets, including the intelligent power consumption metre and brilliant weight displaying widget, due to their low-standard and conventional security system. Thus, this paper has suggested possible solutions to protect IoT devices against phishing and theft attacks.

Internet of nano things (IoNT) is a new and modern part of the internet of things (IoT). Applications that operate in the field of nano scale show a new advantage in communication networks. IoNT opened the door to many applications in various fields with new features derived from the advantages of nanotechnology. In this work, a description of the IoNT during 2015-2021 was achieved, including taxonomy, architecture, motives, applications and challenges, in addition to recommendations. The architecture of the IoNT and the most important technologies used in Nano communication networks have been identified, with an indication of the advantages of each. This study, we hope, will make a contribution to this field of science, thus contributing to providing assistance to researchers in this emerging field and covering the challenges they face in this way. That would permit communication between nano-devices to be conventional, making these calibrations to be implemented in various IoNT ap...

This era witnessed the rapidly growing of internet technology, a huge amount of people all over the world using the internet and it applications, there are various ways and purposes for using the internet which contributed in so many fields, and one of these techniques which will be more increasing and usage is the future is the Internet of Things (IoT), which facilitate using of many embedded devices that help will be connected and controlled through the internet. The technology of the Internet of Things (IoT) relies on Cloud Computing. Cloud Computing provides a baseline that supports IoT and is built on the idea of allowing individuals to perform computing activities via internet-based services. This article presents a comprehensive survey on addresses the concerns, challenges, and existing state-of-the-art standards to emphasize and overcome most of the proposed technical solutions and it will deepen the importance of the IoT & The Internet of Everything (IoE) technology, the pa...

This era witnessed the rapidly growing of internet technology, a huge amount of people all over the world using the internet and it applications, there are various ways and purposes for using the internet which contributed in so many fields, and one of these techniques which will be more increasing and usage is the future is the Internet of Things (IoT), which facilitate using of many embedded devices that help will be connected and controlled through the internet. The technology of the Internet of Things (IoT) relies on Cloud Computing. Cloud Computing provides a baseline that supports IoT and is built on the idea of allowing individuals to perform computing activities via internet-based services. This article presents a comprehensive survey on addresses the concerns, challenges, and existing state-of-the-art standards to emphasize and overcome most of the proposed technical solutions and it will deepen the importance of the IoT & The Internet of Everything (IoE) technology, the pa...

In recent years, new concepts as IoT, industrial IoT, and cyber-physical systems have emerged with the active penetration of information and communication technologies into industrial processes. Interrelationships between these conceptions and the degree of integration between them are considered the apotheosis of modern days. As a result, this chapter focuses on the integration of IoT, industrial IoT, and cyber-physical systems. It provides analytical data on the industrial revolution and Industry 4.0, information about IoT, IIoT, and cyber-physical systems for smart environments, their history, development trends, definitions, architectures, components, applications, and characteristics. Also, IoT, IIoT, and cyber-physical systems were compared in terms of origin, application, architecture, characteristics, and the degree of integration between them was determined. Studied following issues of integrated IoT, IIoT, and cyber-physical systems-control issues, network construction issues, computing issues, and security issues.

Internet of nano things (IoNT) is a new and modern part of the internet of things (IoT). Applications that operate in the field of nano scale show a new advantage in communication networks. IoNT opened the door to many applications in various fields with new features derived from the advantages of nanotechnology. In this work, a description of the IoNT during 2015-2021 was achieved, including taxonomy, architecture, motives, applications and challenges, in addition to recommendations. The architecture of the IoNT and the most important technologies used in Nano communication networks have been identified, with an indication of the advantages of each. This study, we hope, will make a contribution to this field of science, thus contributing to providing assistance to researchers in this emerging field and covering the challenges they face in this way. That would permit communication between nano-devices to be conventional, making these calibrations to be implemented in various IoNT ap...

IoT Standards Matters will look at different segments of the IoT market as it relates to implementation and use of standards. Each column will select a particular vertical, and lay out the relevant standards and technologies that affect the evolving IoT hyperspace. The pace of the columns will start broadly with the vision of narrowing the subject of subsequent articles toward more specific applications of standards, whether in the development, application, test, or commissioning of IoT technologies.

The Internet of Things (IoT) has been implemented by multiple manufacturing companies into their production chain as this technology is the main source of digitalization in a production plant. It improves the data assembling, productivity of the operation, communication efficiency, and overall manufacturing performance. IoT is also serves to be a good means for improved and efficient warehouse automation. It makes the delivery of products more efficient by calculating the least routes and also reduces the time that is consumed during the management of inventory. The basic objective of Industry 4.0 is to lessen the participation of human operators and to emphasize the automation systems. However, this objective has changed in Industry 5.0, which aims to achieve the maximum benefits through the human–machine interaction by maintaining a balance. Industry 5.0 aims to strengthen the interaction between ever-increasing powerful machinery and the productive abilities of human beings. This...

Internet of Everything plays a vital role for the business and industry. Internet of everything’s is an assembly of technologies, strategies over the network strategies and connections which required a set of protocols, data server storage strategy, infrastructure mechanism, integration of all technology, and communication protocols with all the connecting devices. Internet of everything’s (IoE) is a diversified and distributed interconnection of the platform strategies, heterogeneous devices through man and machines over the Internet. Business tycoons are continuously shifting their business model to innovative business model with internet technology-based features. The IoE based model able to generate and capture huge amounts of data in nano seconds. Industrialist using this data driven approach in their businesses to generate huge number of profits from their business. IoE based data driven approach learn from existing patterns and solutions to predict the future behavior and ana...

The current statuses and future promises of the Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey is presented. The analysis clearly distinguishes between IoT and IoE, which are wrongly considered to be the same by many commentators. After evaluating the current trends of advancement in the fields of IoT, IoE and IoNT, this paper identifies the 21 most significant current and future challenges as well as scenarios for the possible future expansion of their applications. Despite possible negative aspects of these developments, there are grounds for general optimism about the coming technologies. Certainly, many tedious tasks can be taken over by IoT devices. However, the dangers of criminal and other nefarious activities, plus those of hardware and software errors, pose major challenges that are a priority for further research. Major specific priority issues for research are identified.

The chapter presents an overview of the eight that are part of the European IoT Security and Privacy Projects initiative (IoT-ESP) addressing advanced concepts for end-to-end security in highly distributed, heterogeneous and dynamic IoT environments. The approaches presented are holistic and include identification and authentication, data protection and prevention against cyber-attacks at the device and system levels. The projects present architectures, concepts, methods and tools for open IoT platforms integrating evolving sensing, actuating, energy harvesting, networking and interface technologies. Platforms should provide connectivity and intelligence, actuation and control features, linkage to modular and ad-hoc cloud services, The IoT platforms used are compatible with existing international developments addressing object identity management, discovery services, virtualisation of objects, devices and infrastructures and trusted IoT approaches.

The advancement of computer technology facilitates in the field of medical science for the analysis of complex Diseases related to the neurology. These technologies named as BCI (brain computer interface). The BCI is open area of research for physically challenge people such as paralyzed and amputees. The current technology of computer interface interest in EEG (electroencephalographic) for the analysis of signals for the predication of nervous system. The current trends of brain computer interface focus on process signal of EEG for the sense of human body behaviors and movement of nervous system, motor imagery and various senses. The gathered signal by the EEG is very noisy and predication and recognition of the motor imagery is typical. The minimization of noise upgrades the predication procedure and examination of signal behaviors. For the analysis of behaviors system utilized soft computing processing approach, for example, neural system, optimization techniques. The component e...

The chapter presents an overview of the eight that are part of the European IoT Security and Privacy Projects initiative (IoT-ESP) addressing advanced concepts for end-to-end security in highly distributed, heterogeneous and dynamic IoT environments. The approaches presented are holistic and include identification and authentication, data protection and prevention against cyber-attacks at the device and system levels. The projects present architectures, concepts, methods and tools for open IoT platforms integrating evolving sensing, actuating, energy harvesting, networking and interface technologies. Platforms should provide connectivity and intelligence, actuation and control features, linkage to modular and ad-hoc cloud services, The IoT platforms used are compatible with existing international developments addressing object identity management, discovery services, virtualisation of objects, devices and infrastructures and trusted IoT approaches.

The Internet of Things (IoT) and the Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, which will bring together hyperconnectivity, edge computing, Distributed Ledger Technologies (DLTs) and Artificial Intelligence (AI). Future IoT applications will apply AI methods, such as machine learning (ML) and neural networks (NNs), to optimize the processing of information, as well as to integrate robotic devices, drones, autonomous vehicles, augmented and virtual reality (AR/VR), and digital assistants. These applications will engender new products, services and experiences that will offer many benefits to businesses, consumers and industries. A more human-centred perspective will allow us

Indexing: All books published in this series are submitted to the Web of Science Book Citation Index (BkCI), to CrossRef and to Google Scholar. The "River Publishers Series in Information Science and Technology" covers research which ushers the 21st Century into an Internet and multimedia era. Multimedia means the theory and application of filtering, coding, estimating, analyzing, detecting and recognizing, synthesizing, classifying, recording, and reproducing signals by digital and/or analog devices or techniques, while the scope of "signal" includes audio, video, speech, image, musical, multimedia, data/content, geophysical, sonar/radar, bio/medical, sensation, etc. Networking suggests transportation of such multimedia contents among nodes in communication and/or computer networks, to facilitate the ultimate Internet. Theory, technologies, protocols and standards, applications/services, practice and implementation of wired/wireless networking are all within the scope of this series. Based on network and communication science, we further extend the scope for 21st Century life through the knowledge in robotics, machine learning, embedded systems, cognitive science, pattern recognition, quantum/biological/molecular computation and information processing, biology, ecology, social science and economics, user behaviors and interface, and applications to health and society advance. Books published in the series include research monographs, edited volumes, handbooks and textbooks. The books provide professionals, researchers, educators, and advanced students in the field with an invaluable insight into the latest research and developments.

Internet of things what is iot and iot security kaspersky. report most iot transactions are not secure network world. internet of things iot solutions ssl. internet of things iot solutions amp technologies samsung. secure and smart internet of things iot using. secure and smart internet of things iot using. internet of things brochure shaping europe s digital. putting the s in iot how to make internet of things. iot security 42 top internet of things security solutions. securing the internet of things a proposed framework. the teamviewer iot solution secure hyperconnectivity. internet of things iot iot security web secure media. internet of things iot security what are the issues. what is iot security internet of things security. mozilla iot. iot for smart things stmicroelectronics. about smart cards applications internet of things iot. plan to secure internet of things with new law bbc news. internet of things. securing the internet of things. internet of things iot of smart home p...

With the rise of IoT, we are about to experience radical changes in the way we live and work. The growth of consumer IoT market, however, is reported to be slower than was originally expected. Analysts report that relentless realities caused by a premature user experience (UX) such as the use of unfamiliar techy terms, lack of empathic understandings of user needs, or lack of interoperability are among the worst barriers of consumer adoption. This is why UX is now considered crucial to the success of IoT business. The goal of this study is to address some UX challenges in the upcoming connected age and to suggest the desirable research directions. A systematic review and meta-analysis study was conducted to obtain the background data. This study is expected to ignite constructive discussions on how to make the IoT world more people-friendly.

Demographic growth in urban areas means that modern cities face challenges in ensuring a steady supply of water and electricity, smart transport, livable space, better health services, and citizens’ safety. Advances in sensing, communication, and digital technologies promise to mitigate these challenges. Hence, many smart cities have taken a new step in moving away from internal information technology (IT) infrastructure to utility-supplied IT delivered over the Internet. The benefit of this move is to manage the vast amounts of data generated by the various city systems, including water and electricity systems, the waste management system, transportation system, public space management systems, health and education systems, and many more. Furthermore, many smart city applications are time-sensitive and need to quickly analyze data to react promptly to the various events occurring in a city. The new and emerging paradigms of edge and fog computing promise to address big data storage...

The advent of the Internet of Things (IoT) and the massive growth of devices connected to the Internet are reshaping modern societies. However, human lifestyles are not evolving at the same pace as technology, which often derives into users’ reluctance and aversion. Although it is essential to consider user involvement/privacy while deploying IoT devices in a human-centric environment, current IoT architecture standards tend to neglect the degree of trust that humans require to adopt these technologies on a daily basis. In this regard, this paper proposes an architecture to enable privacy-by-design with human-in-the-loop IoT environments. In this regard, it first distills two IoT use-cases with high human interaction to analyze the interactions between human beings and IoT devices in an environment which had not previously been subject to the Internet of People principles.. Leveraging the lessons learned in these use-cases, the Privacy-enabling Fog-based and Flexible (PyFF) human-ce...

Pervasive collaborative computing within the Internet of Things (IoT) has progressed rapidly over the last decade. Nevertheless, emerging architectural models and their applications still suffer from limited capacity in areas like power, efficient computing, memory, connectivity, latency and bandwidth. Technological development is still in progress in the fields of hardware, software and wireless communications. Their communication is usually done via the Internet and wireless via base stations. However, these models are sometimes subject to connectivity failures and limited coverage. The models that incorporate devices with peer-to-peer (P2P) communication technologies are of great importance, especially in harsh environments. However, their power-limited devices are randomly distributed on the periphery where their availability can be limited and arbitrary. Despite these limitations, their capabilities and efficiency are constantly increasing. Accelerating development in these are...