A New Metric Based Cluster Head Selection Technique for Prolonged Lifetime in Wireless Sensor Networks


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Abstract


Wireless sensor networks are composed by large number of small battery powered sensors distributed in an environment. They are responsible to monitor and transmit its physical characteristics. These networks require robust wireless communication protocols that are energy efficient. Thus, it is a challenge for the self organization protocols to provide network survivability and redundancy features. In this paper, we present a novel clustering algorithm called HDED (hybrid distributed, energy-efficient, and dual homed clustering Algorithm), derived from DED (distributed, energy-efficient, and dual homed clustering) which aims some changes on this protocol to increase its performance. Better coverage, energy efficiency, minimum traffic from nodes to base station, balanced energy consumption are the main features of HDED to improve life time of WSN. Simulation results confirm that HDED is effective in prolonging the network lifetime as well as in improving throughput, than DED and EDED.
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Keywords


Wireless Sensor Network; Self-Organization; Clusterhead; Clustering; Energy-Efficiency

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References


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