Papers by Rekha Chakravarthi
International Journal of Electrical and Computer Engineering (IJECE)
The internet of things (IoT) defines the connectivity of physical devices to provide the machine ... more The internet of things (IoT) defines the connectivity of physical devices to provide the machine to machine communication. This communication is achieved through various wireless standards for sensor node connectivity. The IoT calls from the formation of various wireless sensor nodes (WSNs) in a network. The existing neighborhood discovery method had the disadvantage of time complexity to calculate the cluster distance. Our proposed method rectifies this issue and gives accurate execution time. This paper proposed mobility management system based on proxy mobile IPv6 as distributed PMIPv6 with constrained application protocol (CoAP-DPMIP) and PMIPv6 with constrained application protocol (CoAP-PMIP). It also provides the optimized transmission path to reduce the delay handover in IoT network. The PMIPv6 described the IPv6 address of mobile sensor device for efficient mobility management. The network architecture explains three protocol layers of open systems interconnection model (OS...
A sensor based intelligent system for classification and assistance of diabetes patients in telemedicine technology
Journal of Intelligent & Fuzzy Systems, 2021
Diabetes is one of the chronic metabolic disorder. Under diabetic condition, blood glucose level ... more Diabetes is one of the chronic metabolic disorder. Under diabetic condition, blood glucose level should be properly maintained in order to avoid various major diseases. The condition will be worse when it is not controlled at an earlier stage. Even massive heart attack cannot be identified when the patient has been affected by diabetes. Early diagnosis is required for preventing fatal diseases like cardiac problem, asthma, heart attack etc. In the proposed system measurement of glucose level and Prediction/ diagnosis of diabetes is based on the real time low complexity neural network implemented on a wearable device. A larger network is required for the diagnosis which needs to be present far-off in cloud and initiated for diagnosis and classification process of diabetes whenever it is essential. People can be able to manage and monitor the required basic parameters like heart rate, glucose level, lung condition, pressure of blood using the corresponding light weight biosensors in t...
Optimal Mobility based Data Gathering Scheme for Life Time Enhancement in Wireless Sensor Networks
2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP), 2020
The Wireless Sensor Networks (WSN) is widely used in gathering applications. Data gathering is th... more The Wireless Sensor Networks (WSN) is widely used in gathering applications. Data gathering is the main operation and this data process uses the continuous monitoring ability of WSNs. The main constraint of WSN is its energy efficiency and data gathering operation highly influences the lifetime. Multiple researches has been performed to overcome this issue of lifetime of WSNs. In the existing research EDCMS has been used along with Maximum capacity path Routing protocol. Though this method was found to be effective in terms of data gathering, the waiting time of the nodes, the deliver the gathered data to the Dynamic Sink influenced the throughput of the network. For this purpose, Optimal Mobility based Data Gathering method (OMDG) with Time-varying Maximum Capacity Path Routing protocol (TMCP) is proposed. Here CHEF was used for Clustering and, multiple dynamic sinks are used to gather the gathered data within the cluster in order to reduce the waiting time. The gathered data is delivered to the cluster head and this increases the life time of WSNs. Simulation was done through NS-2 and OMDG is compared with the multiple existing methods and results has proven to better.
Performance evaluation of fuzzy and BPN based congestion controller in WSN
In a Wireless Sensor Network when an event is detected, the network traffic increases. It in turn... more In a Wireless Sensor Network when an event is detected, the network traffic increases. It in turn increases the flow of data packets and congestion. Congestion in Wireless Sensor Network plays a vital role in degrading the performance of the network. Hence it necessitates, developing a novel technique to control congestion. In this paper, soft computing based congestion control technique is proposed. Fuzzy logic and neural network are the soft computing tools used for estimating the packet drop. The performance of the proposed technique is evaluated using Accuracy. From the results, it is proved that neural network based congestion control technique provides better results than fuzzy based congestion control technique. Keywords—Wireless Sensor Networks (WSNs), Congestion, Fuzzy Logic Controller, Neural Network.
Congestion plays a vital role in degrading the performance of the network. Under idle condition, ... more Congestion plays a vital role in degrading the performance of the network. Under idle condition, network traffic is less whereas when an event is detected, the network traffic becomes high thus leading to congestion in the network. To ensure the reliability of the network an efficient protocol is proposed to detect and control congestion. Though there are various sources for congestion, the significant source for congestion is Buffer Overflow . We have proposed a new algorithm to detect and control congestion in a Wireless Sensor Network using Fuzzy Logic Controller. The congestion is detected by calculating the back logged packets in the queue. Depending on Buffer Occupancy(BO) , level of congestion is analyzed . In order to control congestion , an effective congestion control algorithm called Fuzzy Based Intelligent Packet Dropping(FIPD) is proposed. Congestion is controlled by dropping the packets based on priority assigned to the data packets i.e Intelligent Packet Dropping. Thi...
Int. Arab J. Inf. Technol., 2021
In recent years, Wireless Sensor Networks (WSN) with mobile sinks has attracted much attention as... more In recent years, Wireless Sensor Networks (WSN) with mobile sinks has attracted much attention as the mobile sink roams over the sensing field and collects sensing data from sensor nodes. Mobile sinks are mounted on moving objects, such as people, vehicles, robots, and so on. However, optimal placement of the sink for the effective management of the WSN is the major challenge. Hence, an adaptive Fractional Rider Optimization Algorithm (adaptive-FROA) is developed for the optimal placement of mobile sink in WSN environment for effective routing. The adaptive FROA, which is the integration of the adaptive concept in the FROA, operates based on the fitness measure based on distance, delay, and energy measure of the nodes in the network. The main objective of the research work is to compute the energy and distance. The proposed method is analyzed based on the metrics, such as energy, throughput, distance, and lifetime of the network. The simulation results reveal that the proposed metho...
Survey on Various Congestion Detection and Control Protocols in Wireless Sensor Networks
Wireless Sensor networks(WSN’s) are expected to have wide range of applications and increasing de... more Wireless Sensor networks(WSN’s) are expected to have wide range of applications and increasing deployment in the near future as it provides a low cost solution with respect to both maintenance and installation. WSN’s are distributed self-governing sensors used to monitor the physical conditions of the environment. They are constructed by “nodes” where each of them is connected to sensors. A sensor node carries all the necessary components for transmission and reception of data packets. When nodes are densely distributed or due to high flow rate, Congestion of data packets are encountered which leads to packet loss, inefficiency and lack of fairness. Hence, congestion needs to be controlled in order to improve the Quality of Service, QoS, of the system in terms of link utilization and packet loss ratio with respect to packet delay. This paper provides are overview of the variegated detection and control techniques that are available in the field. The techniques include Congestion Det...
HGRP: Optimal Neighborhood Discovery in IOT Applications
Wireless Personal Communications, 2021
Identification, behavior analysis, and control of snail pest in agricultural fields using signal analysis and nanoparticles
Applied Nanoscience, 2021
Giant African snail has been considered as the most challenging and evolving pest all over the wo... more Giant African snail has been considered as the most challenging and evolving pest all over the world. This Pest is recognized as one of the topmost 100 destructive species in the world. This Snail is an agricultural pest devours only vegetables, fruits and sometimes sand. It also disturbs the households. It has the capacity to transmit both human and plant pathogens. This snail feeds on the stem, leaves, and flower of the cauliflower. This paper gives the brief study of various behavior of Giant African snail in acoustic environment. The Signals of various behavior of snails are recorded and analyzed using a MATLAB 2019 software. The time domain specification and frequency domain specification of pest Snails are done. Eradication of snail from its habitat is the tedious process. The eradication of snail is quite simple when it is detected automatically. This paper also suggests the identification of snails automatically by its acoustic signals and uses Machine Learning algorithm for effective detection. Added to above, the addition of the 5% of AgNP nanoparticles eliminated the presence of Giant African snail in the agricultural fields.
International Journal of Intelligent Engineering and Systems, 2021
Wireless sensor network (WSN) employs the mobile sink to collect the information from the sensor ... more Wireless sensor network (WSN) employs the mobile sink to collect the information from the sensor nodes that are deployed in the network environment in such a way to reduce the energy hole issues. However, the placement of mobile sinks optimally in the network without degrading network lifetime result in a great challenge. Thus, the adjacency-based cell score factor is adopted in this research in order to place the mobile sink optimally in WSN. Here, the network is transformed into the cell using the Voronoi transformation. For each uniform-sized cell, the cluster head (CH) is selected using Sparse-Fuzzy C-means clustering. The optimal placement of the mobile sink is carried out using the adjacency-based cell score, which effectively places the mobile sink using the constrained factors, such as energy, Euclidean distance, and fairness. The proposed adjacency-based cell score obtained better performance with a minimal distance of 22.4615m, maximal energy, fairness, network lifetime, and throughput of 97.2182, 92.6064, 145, and 95.8852, respectively, while considering 400 nodes.
Journal of Computational and Theoretical Nanoscience, 2020
One of the principal issues in data sharing is security. Data being transferred on the internet i... more One of the principal issues in data sharing is security. Data being transferred on the internet is prone to severe attacks. Securing data is kind of digital privacy measures that are implemented to prevent the data to be hacked by unauthorized person while sharing the information over the communication network. Data may be of any form like image, signal or text. Encrypting the data before being transmitted is one step taken to promote security which is the well-known process of cryptography. Steganography deals with hiding the message in any unknown format. Combination of these methods turns to be more secure. A hybrid DNA hyper chaotic based algorithm with lifting wavelet technology to secure ECG signal is proposed here. The wavelet technique that decomposes the image into four bands namely LL, LH, HH, HL. To remove the redundancies the coefficients are utilised in the encoder process. The data hiding is implemented by selective embedding process is introduced in this method by det...
Fractional rider optimization algorithm for the optimal placement of the mobile sinks in wireless sensor networks
International Journal of Communication Systems, 2020
Design of an Intelligent Foot Insole Using Dynamic Sensor Network for Prevention of Diabetic Foot Ulceration- Telemedicine Application
Journal of Advanced Research in Dynamical and Control Systems, 2020
International Journal of Innovative Technology and Exploring Engineering, 2019
The quantity of pesticides usage in the field increases every year, which in turn affects the nut... more The quantity of pesticides usage in the field increases every year, which in turn affects the nutrients present in the crop. These pesticides also cause water contamination, air pollution, serious health problems in humans and finally making the soil infertile. Necessary action has to be taken to protect the environment and crops from chemicals. A well-established automatic acoustic detection of pest for early pest detection is suggested in this paper. Acoustic identification technique of signal analysis is extensively implemented in agriculture to give maximum protection of crops, ultimately resulting in better production. Successful eradication of pest lies in identification of pest without damaging the nutrients and crops. The proposed technique detects the presence of pests in the initial stage. The sounds of different pests which are dreadfully affecting the agricultural crops are collected. The signals of pests are analyzed in time domain and frequency domain specifications. T...
JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2019
Introduction: The Major and Minor blood vessel and the optic disc are the important factors for f... more Introduction: The Major and Minor blood vessel and the optic disc are the important factors for finding the presence of retinal disease like diabetic retinopathy. Aim: To segment the blood vessel using Major vessel extraction and Minor vessel classification methods.
International Journal of Engineering and Advanced Technology, 2019
People are suffering from chronic diseases like diabetes which has a threat of sudden and unexpec... more People are suffering from chronic diseases like diabetes which has a threat of sudden and unexpected attack in the current healthcare scenario. So, continuously monitoring the vital parameters of the patients became necessary. The proposed system is an emergency telemedicine healthcare support which is used for continuous Electrocardiogram (ECG) signal monitoring, Heartbeat (pulse) along with vital parameters monitoring which will help preventing and alerting about cardiac problems in diabetic patients. This system uses GSM with IoT implementation. This system detects the abnormality in the monitoring system. The ECG signal is processed in the processor to count the heartbeat for one minute. The parameters of some critical components are obtained and processed. The feature extracted from the critical components were values of essential peaks and they were received as analog waveform at receiving end (doctor’s device). If any abnormality is detected in the ECG signal, an SMS with a l...
International Journal of Computer Applications, 2016
Congestion in wireless sensor networks creates a lot of issues like packet collision, buffer over... more Congestion in wireless sensor networks creates a lot of issues like packet collision, buffer overflow, queuing delay and many to one data transmission scheme. This leads to degrade the quality of service parameters like packet delivery ratio, end to end delay and Average energy consumption of the wireless nodes. In this work is used to describe some of the congestion control mechanisms used in the WSNs and classifies them into four major categories traffic rate control, resource management, traffic rate and resource management and priority based congestion control. The comparative analysis is used to compare the popular congestion control protocols with each other in terms of congestion detection, congestion notification and its advantages and disadvantages.
HRCT: hop-by-hop rate control technique for congestion control in wireless sensor network
international conference on machine vision, Dec 24, 2011
In Wireless Sensor Networks, congestion occurs when the traffic rate is high. This happens when t... more In Wireless Sensor Networks, congestion occurs when the traffic rate is high. This happens when the an event is detected in a network. Congestion causes packet loss thus degrading the performance of the network. Hence it necessitates to develop an effective congestion control technique. This paper focuses on congestion due to concurrent transmission. We have proposed an efficient protocol to detect and control congestion in a MAC. The occurrence of congestion is detected by calculating a new metrics called congestion scale. When the congestion scale exceeds the threshold value it intimates, that, congestion has occurred. Congestion notification signal is send to all the nodes. On receiving the notification signal all nodes adjust their transmission rate to control congestion. We have implemented Hop-by-Hop Rate Control Technique(HRCT) to control congestion and to guarantee both high throughput and minimum delay. This technique is implemented successfully in NS-2 simulator. Finally, simulation results have demonstrated the effectiveness of our proposed algorithm.
IPD: Intelligent Packet Dropping algorithm for congestion control in Wireless Sensor Network
Trendz in Information Sciences & Computing(TISC2010), 2010
... [18] S. Floyd and T. Henderson, \The new-reno modi_cation to tcp's fast recovery algorit... more ... [18] S. Floyd and T. Henderson, \The new-reno modi_cation to tcp's fast recovery algorithm," IETF RFC 2582, Apr. 1999. ... 4, no. 2. [20] M. Gerla, M. Sanadidi, R. Wang, A. Zanella,C. Casetti, and S. Mascolo, \Tcp westwood: congestion window control using bandwidth ...
International Journal of Computer Applications, 2012
In Wireless Sensor Networks (WSN's), congestion plays an important role in degrading the performa... more In Wireless Sensor Networks (WSN's), congestion plays an important role in degrading the performance of the network. Under idle condition, the network load is very low whereas when an event is detected the network load becomes high which leads to congestion. Due to congestion the overall performance of the network degrades. Hence it is necessary to detect and control congestion. In this paper an efficient technique to detect and control congestion has been proposed. The congestion is detected by calculating a metric called Congestion Degree (Cd). It is the ratio between packet inter arrival time and packet inter service time. Once the congestion is detected, it is notified using Implicit Congestion Notification (ICN) signaling. On receiving the congestion notification signal, the transmission rate is controlled in order to reduce congestion. Further congestion control is implemented using Fuzzy Logic Controller. The performance of the network is measured for delivery ratio with different transmission rate and the PDR is compared with CODA.
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Papers by Rekha Chakravarthi