Energy efficiency is a major concern in WSNs due to the use of small sized batteries which can neither be replaced nor be recharged. Hence the energy consumption must be as low as possible. One of the traditional approaches used is clustering. Clusters are formed for efficient energy utilization and improving the network performance. In the proposed algorithm, cluster heads are chosen depending on the Huffman coding algorithm. The nodes having the least weight are chosen to be cluster heads. The result obtained is compared with LEACH and the performance is increased by 30% than LEACH. © 2015 IEEE.

Shankar T

Department of Communication Engineering

School of Electronics Engineering

Vellore Campus

Rajesh A

Potthuri S

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Clusterhead selection using Huffman coding algorithm for Wireless Sensor Networks

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

Energy efficiency is a major concern in wireless sensor networks as the sensor nodes are battery-operated devices. For energy efficient data transmission, clustering based techniques are implemented through data aggregation so as to balance the energy consumption among the sensor nodes of the network. The existing clustering techniques make use of distinct Low-Energy Adaptive Clustering Hierarchy (LEACH), Harmony Search Algorithm (HSA) and Particle Swarm Optimization (PSO) algorithms. However, individually, these algorithms have exploration-exploitation tradeoff (PSO) and local search (HSA) constraint. In order to obtain a global search with faster convergence, a hybrid of HSA and PSO algorithm is proposed for energy efficient cluster head selection. The proposed algorithm exhibits high search efficiency of HSA and dynamic capability of PSO that improves the lifetime of sensor nodes. The performance of the hybrid algorithm is evaluated using the number of alive nodes, number of dead nodes, throughput and residual energy. The proposed hybrid HSA–PSO algorithm shows an improvement in residual energy and throughput by 83.89% and 29.00%, respectively, than the PSO algorithm. © 2016 Elsevier B.V.

Swarm and Evolutionary Computation

Hybrid HSA and PSO algorithm for energy efficient cluster head selection in wireless sensor networks

International Journal of Advanced Intelligence Paradigms

Energy Efficient Cluster Head Selection for Wireless Sensor Network by Improved Firefly Optimization

Computers & Electrical Engineering

ECDC: An energy and coverage-aware distributed clustering protocol for wireless sensor networks

International Journal of Computer Science & Engineering Survey

A Comparative Study Of Clusterhead Selection Algorithms In Wireless Sensor Networks

Benezit Dictionary of Artists

Guerzoni, Stephanie

Journal	Data powered by Typeset2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)
Publisher	Data powered by TypesetIEEE
Open Access	No