Meta-Heuristics Approaches for Wireless Ad HOC and Sensor Networks

Meta-Heuristics Approaches for Wireless Ad HOC and Sensor Networks

Authors: Dr. T. Shankar, Dr.P.Sivasankar,
Format: Paperback | Genre : Engineering | Other Book Detail

Recent advances in wireless communications and electronics have enabled the development of low-cost, low-power, multifunctional sensor nodes that are small in size and communicate un tethered in short distances. These tiny sensor nodes, which consist of sensing, data processing, and communicating components, leverage the idea of sensor networks. Sensor networks represent a significant improvement over traditional sensors. The past few years have witnessed increased interest in the potential use of Wireless Sensor Network (WSN) in a wide range of applications and it has become a hot research area. Sensor nodes in WSN are usually battery-operated devices, and hence energy saving of sensor nodes is a major design issue. To prolong the networks lifetime, minimization of energy consumption should be implemented at all layers of the network protocol stack starting from the physical to the application layer including cross-layer optimization. Optimizing energy consumption is the main concern for designing and planning the operation of the WSN. Clustering technique is one of the methods utilized to extend lifetime of the network by applying data aggregation and balancing energy consumption among sensor nodes of the network. In clustered networks, Sensor nodes in each cluster transmit their data to the respective Cluster Head (CH) and the CH aggregates data and forwards them to a central base station. More energy is drained from Cluster Heads (CHs) due to message transmission over long distances (CHs to the base Station) compared to other sensor nodes in the cluster. It is essential to avoid quick depletion of cluster heads.

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Dr. T. Shankar

Dr. T. Shankar

Dr. T. Shankar received Ph.D. and M.E in Applied Electronics from College of Engineering Guindy, Anna University, Tamil Nadu, and India in 2014 and 2005, respectively. He obtained Bachelor of Engineering degree in Electronics and Communication Engineering from University of Madras, Tamil Nadu, India in 1999. He is a member in Senior Member in IEEE, Life Member in IETE (Institution of Electronics and Telecommunication Engineers), Life member in ISTE (Indian Society for Technical Education) and Life member in MSCRS. Presently, he is working as Professor in the School of Electronics Engineering, VIT University, Vellore. His research interests are in the area of Wireless Sensor Networks, Bio-inspired optimization techniques based wireless networks and image processing. MANET, VANET, software defined networks, LTE, IOT, and Emerging Wireless Networks.

Dr.P.Sivasankar

Dr.P.Sivasankar

Dr P.Sivasankar , is working as Professor in the Department of Electrical Electronics and Communication Engineering, NITTTR, Chennai since 2006. He has obtained his Ph.d Degree from Anna University in the area of Wireless sensor networks. He has organised nearly 200 Training programmes in the areas of Sensor Applications using Raspberry Pi, Arduino and myRIO, Wireless and Mobile Communications, Advanced Digital System Design, Advanced Digital Signal Processing, VLSI Design, Embedded Systems, Advanced Communication systems, Matlab and LabView and Outcome Based Education. Coordinated around 5 Overseas Trainee Progammes; Published 2 Books during 2015 and 2019 respectively; Total number of Publications is 36 which includes Book chapters, National and International Conferences and Journals; Received 2 Best paper awards; Members in IEEE, and various IEEE Societies, ACM and CSI; Serving as members in BoS, DC Panel, Viva Voce Oral Exam Board, Selection Committee, Assessment Committee and various other Committees in various Universities, Produced many Video lectures, delivered lectures, expert talks, disseminated technical speech, evaluated UG, PG, Ph.D Thesis, served as Conference Chairs in various National and International Conferences, and workshops, served as Jury member in evaluating the mini projects in Technical Exhibitions and etc., Area of Expertise are : Wireless Adhoc and Sensor Networks, Signal and Image Processiing, Embedded Controllers, IoT and Cyber Physical Systems, Machine Learning and Meta-heuristic Approaches, 11 Different Electronics simulators and Programming Languages like Embedded C, Verilog, VHDL, Matlab programming and Simulink modelling, LabVIEW Programming, Sketch programming for Arduino, Python Programming, Fluidsim for Pneumatics, Multisim and ORCAD for Digital Electronics. curriculum evaluation of various Engineering curriculum with latest pedagogical methods. She is now involved in the research area of developing and analyzing skill oriented Industry Inclined curriculum.