Energy Efficient Computation of Data Fusion in Wireless Sensor Networks Using Cuckoo Based Particle Approach (CBPA)

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DOI: 10.4236/ijcns.2011.44030   PDF   HTML     7,720 Downloads   15,822 Views   Citations

Abstract

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.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.

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