Papers by DNYANESHWAR MANTRI
6G Future Vision: Requirements, Design Issues and Applications
River Publishers eBooks, Dec 14, 2022
Layered Network Security for Efficient Data Aggregation in CONASENSE
River Publishers eBooks, Sep 1, 2022

THE 2ND UNIVERSITAS LAMPUNG INTERNATIONAL CONFERENCE ON SCIENCE, TECHNOLOGY, AND ENVIRONMENT (ULICoSTE) 2021
The crime rate has been rising at an unprecedented rate, and security has become a big concern in... more The crime rate has been rising at an unprecedented rate, and security has become a big concern in ATM machines. Face detection is the most common biometric technique due to its non-invasive nature. It's been used in a variety of fields, including camera auto focus, attendance, crowd monitoring, object tracking, security, system, etc. Face detection systems uses image processing techniques that are being learned to operate reliably in a variety of conditions, including changes in posture, lighting, skin color, occlusion, and face spoofing. The face detection system has become increasingly vulnerable to occlusion. Occlusion refers to the deliberate shielding of one's face with a helmet, sunglasses, scarves, or other items in order to avoid being caught. These issues have a significant impact on the development of image processing techniques and system's performance. In this paper the Haar Cascade Classifier (HCC) scheme is projected for face detection where precision as well as minimal processing time are important factors for ATM. The proposed scheme uses deep learning models such as Convolutional Neural Networks to enhance the reliability in feature extraction plus classification of images. Face biometric access control devices are becoming more common in everyday lives, but they remain vulnerable to spoofing attacks. This paper also proposes face spoofing identification using Local Binary Pattern (LBP) that has useful features for face detection. The proposed spoofing attack detection technique has yielded encouraging results.
Internet of Things (IoT) and Artificial Intelligence for Smart Communications
CRC Press eBooks, Aug 23, 2022

Random Mobility and Heterogeneity-Aware Hybrid Synchronization for Wireless Sensor Network
Wireless Personal Communications, 2017
Random mobility of a node in wireless sensor networks (WSNs) causes the frequent changes in the n... more Random mobility of a node in wireless sensor networks (WSNs) causes the frequent changes in the network dynamics with increased cost in terms of energy and bandwidth. During data collections and transmission, they need the additional efforts to synchronize and schedule the activities of nodes. A key challenge is to maintain the global clock scale for synchronization of nodes at different levels to minimize the energy consumption and clock skew. It is also difficult to schedule the activities for effective utilization of slots allocated for aggregated data transmission. The paper proposes the Random Mobility and Heterogeneity-aware Hybrid Synchronization Algorithm (MHS) for WSN. The proposed algorithm uses the cluster-tree for efficient synchronization of CH and nodes in the cluster and network, level-by-level. The network consists of three nodes with random mobility and are heterogeneous regarding energy with static sink. All the nodes and CH are synchronized with the notion of the global timescale provided by the sink as a root node. With the random mobility of the node, the network structure frequently changes causing an increase in energy consumption. To mitigate this problem, MHS aggregate data with the notion of a global timescale throughout the network. Also, the hierarchical structure along with pair-wise synchronization reduces the clock skews hence energy consumption. In the second phase of MHS, the aggregated data packets are passed through the scheduled and synchronized slots using TDMA as basic MAC layer protocol to reduce the collision of packets. The results are extended by using the hybrid approach of scheduling and synchronization algorithm on the base protocol. The comparative results show that MHS is energy and bandwidth efficient, with increased throughput and reduced delay as compared with state-of-the-art solutions.

Secure Scheduling for Cluster-based TDMA Schedule MAC in Wireless Sensor Network
2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN), 2018
The overwhelming application growth of wireless sensor network (WSN) evolved the performance requ... more The overwhelming application growth of wireless sensor network (WSN) evolved the performance requirement of WSN in terms of security. The WSN is susceptible to many different security attacks but security attacks on medium access control (MAC) layer are more disastrous because the main role of MAC layer is to allocate and manage the available resources. The main aim of the paper is to explore the possibility of attack on cluster based MAC and to propose the solution to reduce or avoid the effect of attack in case of cluster-based time division multiple access (TDMA) schedule MAC. The paper give proposal of the cluster head (CH) attack on cluster-based MAC which attack on CH and increase the chances of CH re-election by draining the energy of CH and introduce the inter- and intra-cluster collisions. To diminish the effect of CH-attack paper put forward the idea of Secure-Green Conflict Free (S-GCF) which assigns the secure slots to CH and decreases the effect of CH-attack. The S-GCF shows better energy consumption, throughput and delay than cluster based TDMA schedule MAC Green Conflict Free (GCF) algorithm under CH-attack.

Averaging Based Predictive Modelling for Traffic Congestion in IoT
2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN), 2018
The Internet of things (IoT) is the system of physical devices, vehicles, and other items embedde... more The Internet of things (IoT) is the system of physical devices, vehicles, and other items embedded with electronics, software, sensors, actuators, and connectivity which empower these objects to accumulate and interchange data. IoT allows objects to be recognized or controlled distantly without human involvement. This result in enhanced efficiency, precision and economic advantage. Traffic blocking is bursting as foremost challenge in every established as well as emerging countries and it needs immediate attention. The amalgamation of machine learning and IoT, Vehicular Adhoc Network (VANET) makes the traffic management more intelligent. Many researchers have proposed numerous answers for covering detecting, estimating and avoiding traffic congestion in a handful of established nations. These solutions are not suitable from Indian perspective because of mixed traffic conditions, population. This paper proposes a novel traffic congestion prediction technique based on averaging under heterogeneous conditions. The proposed system uses real time and historic traffic data for informing accurately on road congestion preceding the journey.

The energy of the node in the Wireless Sensor Networks (WSNs) is scarce and causes the variation ... more The energy of the node in the Wireless Sensor Networks (WSNs) is scarce and causes the variation in the lifetime of the network. Also, the throughput and delay of the network depend on how long the network sustains i.e. energy consumption. One way to increase the sustainability of network for improving bandwidth utilization and energy consumption is the introduction of heterogeneous nodes regarding energy, and the other is to use the slotted transmission schemethat allow nodes to regularly schedulethe activities.Also, clock skews may cause the errors and be one of the source of delay and energy consumption.To improve the QoS parameters, the paper proposes NodeHeterogeneityaware Bandwidth Efficient Hybrid Synchronization Algorithm (NHBES). It works on the formation of clusterbased spanning tree (SPT).The nodes in the cluster and cluster heads in the network are synchronized with the notion of the global time scale of the network. To minimize the energy consumptions and delay, NHBES s...

Sink Mobility-aware Node Scheduling algorithm for Wireless Sensor Network
2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT), 2016
In application base environment using Wireless Sensor Network (WSNs), mobility sink and node play... more In application base environment using Wireless Sensor Network (WSNs), mobility sink and node plays a key role in concern with topological changes affecting on the bandwidth utilization, energy consumption and delay. Due to the scarcity of available resources, it demands the solution with a better reduction in delay and energy consumption for increased slot utilization and reduced collisions. The paper proposes Sink Mobility-aware Node Scheduling algorithm (SMNS) using TDMA as basic MAC. Slots are scheduled to reduce glitches and offset occurring in switching the data from nodes to movable sink in clustered environment. The collision-free slots allocated shows reduced energy consumption and delay as compared to state-of-the-art solutions.

Wireless Personal Communications, 2017
The last decade has been witnessing fastest developments in wireless communications and ICT techn... more The last decade has been witnessing fastest developments in wireless communications and ICT technologies worldwide particularly new wireless based systems. The Wireless communications, besides providing the last mile access and the vital mobility, revolutionized the way we communicate, stay connected, learn and even entertained. This has affected our day to day life with lot of aspirations of providing ubiquitous and seamless connectivity. Pioneering work and developments in communication systems, protocols and VLSI technology played a catalytic role in making a quick evolution possible. The yet other area of ICT which is going to revolutionize the way we communicate with and handle things including gadgets and machines is Internet of Things (IoT). These areas have been experiencing vibrant research and technology development activities. The Global Wireless Summit (GWS) was conceptualized in bringing together wireless media communication/ personal communication, etc. The First GWS was successfully held in Princeton (USA), in 2013, followed by the Second one in Aalborg (Denmark), in 2014. The 3rd in series of the Global Wireless Summit, the GWS-2015 organized two major conferences namely 18th International Symposium on Wireless Personal Communications (WPMC) and 5th Wireless VITAE, which was held in Hyderabad (India) during December 13-16, 2015. The first day i.e. December 13, 2015 was devoted to Tutorial sessions by leading experts. The focus for 3 days (December 14-16) was also on green and secure communication, wherein government, academia, industry and standardization bodies actively participated. The GWS-2015 was on the theme of 'Democratizing Communications'. In GWS-2015, more than 200 thoroughly reviewed papers, were presented, from all over the world.

Bandwidth Efficient Hybrid Synchronization for Wireless Sensor Network
2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2015
Data collection and transmission are the fundamental operations of Wireless Sensor Networks (WSNs... more Data collection and transmission are the fundamental operations of Wireless Sensor Networks (WSNs). A key challenge in effective data collection and transmission is to schedule and synchronize the activities of the nodes with the global clock. This paper proposes the Bandwidth Efficient Hybrid Synchronization Data Aggregation Algorithm (BESDA) using spanning tree mechanism (SPT). It uses static sink and mobile nodes in the network. BESDA considers the synchronization of a local clock of node with global clock of the network. In the initial stage algorithm established the hierarchical structure in the network and then perform the pair-wise synchronization. With the mobility of node, the structure frequently changes causing an increase in energy consumption. To mitigate the problem BESDA aggregate data with the notion of a global timescale throughout the network and schedule based time-division multiple accesses (TDMA) techniques as MAC layer protocol. It reduces the collision of packets. Simulation results show that BESDA is energy efficient, with increased throughput, and has less delay as compared with state-of-the-art.

Mobility and Heterogeneity Aware Cluster-Based Data Aggregation for Wireless Sensor Network
Wireless Personal Communications, 2015
Internet of things is the modern era, which offers a variety of novel applications for mobile tar... more Internet of things is the modern era, which offers a variety of novel applications for mobile targets and opens the new domains for the distributed data aggregations using wireless sensor networks. However, low cost tiny sensors used for network formation generate the large amount of redundant sensing data and hence, results in energy and bandwidth constraints. In this context, the paper proposes the sink mobility and nodes heterogeneity aware cluster-based data aggregation algorithm (MHCDA) for efficient bandwidth utilization and an increase in network lifetime. The proposed algorithm uses a predefined region for the aggregation of packets at the cluster head for minimizing computation and communication cost. MHCDA exploits correlation of data packets generated by nodes with a variable packet generation rate to reduce energy consumption by 8.66 %. Also, it prolongs the network life by 23.53 % as compared to with and without mobility of the sink and state of the-art solutions.

BHCDA: Bandwidth efficient heterogeneity aware cluster based data aggregation for Wireless Sensor Network
2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013
ABSTRACT The fundamental challenge in design of Wireless Sensor Network (WSNs) is proper utilizat... more ABSTRACT The fundamental challenge in design of Wireless Sensor Network (WSNs) is proper utilization of resources which are scare. One of the critical challenges is to maximize the bandwidth utilization in data gathering from sensor nodes and forward to sink. The main design objective of this paper is to utilize the available bandwidth efficiently in terms of reduced packet delivery ratio and throughput. Bandwidth Efficient Heterogeneity aware Cluster based Data Aggregation (BHCDA) algorithm presents the solution for the effective data gathering with in-network aggregation. It considers the network with heterogeneous nodes in terms of energy and mobile sink to aggregate the data packets. It embodies the optimal approach by Intra and inter-cluster aggregation on the randomly distributed nodes with variable data generation rate while routing data to sink. It uses the correlation of data within the packet for applying the aggregation function on data generated by nodes. BHCDA shows significant improvement in packet delivery ratio (67.66 % & 19.62 %) and throughput (37.01 % & 17.16 %) as compared with the state-of-the-art solutions, Two Tier Cluster based Data Aggregation (TTCDA) and Energy Efficient Cluster based Data Aggregation (EECDA).
Two Tier Cluster based Data Aggregation (TTCDA) in Wireless Sensor Network
2012 IEEE International Conference on Advanced Networks and Telecommunciations Systems (ANTS), 2012
ABSTRACT
Convolutional encoder and Viterbi decoder using SOPC for variable constraint length
2013 3rd IEEE International Advance Computing Conference (IACC), 2013
ABSTRACT
Synchronized Data Aggregation for Wireless Sensor Network
2014 IEEE Global Conference on Wireless Computing & Networking (GCWCN), 2014
An efficient schedule based data aggregation using node mobility for wireless sensor network
2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), 2014
In the Wireless Sensor Networks, (WSNs) a key challenge is to schedule the activities of the mobi... more In the Wireless Sensor Networks, (WSNs) a key challenge is to schedule the activities of the mobile node for improvement in throughput, energy consumption and delay. This paper proposes efficient schedule based data aggregation algorithm using node mobility (SDNM). It considers the cluster-based myopic and non-myopic scheduling scheme for conflict free schedule based on the current and next state. It uses TDMA as the MAC layer protocol and schedules the aggregated packets with consecutive slots. Simulation results show that, SDNM is energy efficient, has less delay as compared with state-of-the-art solutions.
Grouping of clusters for efficient data aggregation (GCEDA) in wireless sensor network
2013 3rd IEEE International Advance Computing Conference (IACC), 2013
ABSTRACT
Cluster-based Myopic and Non-myopic scheduling for Wireless Sensor Network
Proceedings of the 2014 IEEE Students' Technology Symposium, 2014
ABSTRACT

Scheduled Collision Avoidance in wireless sensor network using Zigbee
2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2014
Transmission reliability and energy consumptions are two critical concerns associated with wirele... more Transmission reliability and energy consumptions are two critical concerns associated with wireless sensor network (WSN) design for a long time and continuous operation. With the increase in reliability of the transmission, the energy consumption increases by affecting the efficiency of the network. This paper proposes the Schedule based Collision Avoidance (SCA) algorithm for finding the tradeoff between reliability and energy efficiency by fusion of CSMA/CA and TDMA techniques in Zigbee/ IEEE802.15.4. It uses the multi-path data propagation for collision avoidance and effective utilization of the channel providing efficient energy consumption. It analyses different scheduling schemes to provide an appropriate solution for reducing collisions and improving network lifetime.
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Papers by DNYANESHWAR MANTRI