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Energy Efficient Hierarchical Clustering Mechanism for Wireless Sensor Network Fields
Author(s) -
Hamid Ali
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016912130
Subject(s) - computer science , cluster analysis , wireless sensor network , mechanism (biology) , hierarchical clustering , computer network , energy (signal processing) , wireless network , wireless , data mining , distributed computing , telecommunications , artificial intelligence , statistics , physics , mathematics , quantum mechanics
In wireless sensor networks it becomes infeasible to recharge or substitute the dead batteries of the sensor nodes. As soon as, some of the sensor nodes in a Wireless Sensor Network (WSN) run out of energy, they stop functioning initiating progressive deconstruction of the network. Hence, each and every protocol should be so designed in such a way that minimum energy should be expended during sensing, processing and communication. This work suggests the development of an enhanced hierarchical clustering method, the Energy Efficient Hierarchical Clustering Mechanism (EEHCM) for wireless sensor network fields. This is a welldistributed clustering mechanism and the cluster head selection is based on the residual energy, communication cost and the distance to the base station. The main distinguishing feature of the proposed algorithm is that the cluster head selection is accomplished in mere few steps and its hierarchical nature. Simulation results clearly display that the proposed EEHCM scheme depicts an excellent reduction in communication energy and backbone energy consumption. Also, the energy efficiency in EEHCM is enhanced to a great extent. It is noted that the first node death and the last node death are delayed, and hence the overall network lifetime is prolonged. General Terms Wireless sensor network, cluster head and energy efficiency.

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