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Energy efficient communication is a plenary issue in Wireless Sensor Networks WSNs. Contemporary energy efficient optimization schemes are focused on reducing power consumption in various aspects of hardware design, data processing, network protocols and operating system. In this paper, optimization of network is formulated by Cuckoo Based Particle Approach CBPA. Nodes are deployed randomly and organized as static clusters by Cuckoo Search CS. After the cluster heads are selected, the information is collected, aggregated and forwarded to the base station using generalized particle approach algorithm. The Generalized Particle Model Algorithm GPMA transforms the network energy consumption problem into dynamics and kinematics of numerous particles in a force-field. The proposed approach can significantly lengthen the network lifetime when compared to traditional methods.

KEYWORDS

Cuckoo Search, Generalized Particle Model, Energy Efficiency, Clustering, Sensor Networks

Cite this paper

M. Dhivya, M. Sundarambal and L. Anand -Energy Efficient Computation of Data Fusion in Wireless Sensor Networks Using Cuckoo Based Particle Approach CBPA,- International Journal of Communications, Network and System Sciences, Vol. 4 No. 4, 2011, pp. 249-255. doi: 10.4236-ijcns.2011.44030.





Autor: Manian Dhivya, Murugesan Sundarambal, Loganathan Nithissh Anand

Fuente: http://www.scirp.org/



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