Abstract
Wireless Sensor Networks consist of wide range of applications to be discerned and researched nowadays. The foremost restraint of these Networks is to reduce energy consumption and to prolong the lifetime of the network. In this paper a meta-heuristic optimization technique, Cuckoo Search is used to aggregate data in the Sensor Network. In the proposed technique, the least energy nodes are formed as subordinate chains (or) clusters for sensing the data and high energy nodes as Cluster Head for communicating to the base station. The Cuckoo search is proposed to get enhanced network performance incorporating balanced energy dissipation and results in the formation of optimum number of clusters and minimal energy consumption. The feasibility of the scheme is manifested by the Simulation results on comparison with the traditional methods.
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Dhivya, M., Sundarambal, M., Vincent, J.O. (2011). Energy Efficient Cluster Formation in Wireless Sensor Networks Using Cuckoo Search. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27242-4_17
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DOI: https://doi.org/10.1007/978-3-642-27242-4_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27241-7
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