Energy Efficient Computation of Data Fusion in Wireless Sensor Networks Using Cuckoo Based Particle Approach (CBPA)
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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.
- F. Akyildiz, W. Su, W. Sankarasubramaniam and E. Cayirci, “A Survey on Sensor Networks,” IEEE Communication Magazine, Vol. 40, No. 8, August 2002, pp. 102-114.
- F. P. Ferentinos, T. A. Tsilgiridis, “Adaptive Design Optimization of Wireless Sensor Networks Using Genetic Algorithms,” Computer Networks, Vol. 51, No. 4, 2007, pp. 1031- 1051.
- M. Dhivya, M. Sundarambal and L. N. Anand, “A Review of Energy Efficient Protocols for Wireless Sensor Networks,” Proceedings of 1st International Conference on Modeling, Control, Automation and Communication, Tamilnadu, 20-21 December 2010, pp. 273-278.
- D. Wei, “Clustering Algorithms for Sensor Networks and Mobile Ad Hoc Networks to Improve Energy Efficiency,” Ph.D. Thesis, University of Cape Town, Rondebosch, September 2007.
- A. G. Akojwar and R. M. Patrikar, “Improving Life Time of Wireless Sensor Networks Using Neural Network Based Classification Techniques with Cooperative Routing,” International Journal of Communications, Vol. 2, No. 1, 2008, pp.75-86.
- T. F. Shih, “Particle Swarm Optimization Algorithm for Energy-Efficient Cluster-Based Sensor Networks,” IEICE Transactions on Fundamentals, Vol. E89-A, No. 7, 2006, pp. 1950- 1958.
- Q. Zhao and L. Tong, “Energy-Efficient Information Retrieval for Correlated Source Reconstruction in Sensor Networks,” IEEE Transactions on Wireless Communications, Vol. 6, No. 1, 2007, pp. 157-165. doi:10.1109/TWC.2007.04885
- W. Heinzelman, A. Chandrakasan and H. Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Transactions on Wireless Communications, Vol. 1, No. 4, 2002, pp. 660-670.
- N. Aslam, S. Sivakumar, W. Phillips and W. Robertson, “Energy Efficient Cluster Formation Using a Multi-Criterion Optimization Technique for Wireless Sensor Networks,” Proceedings of IEEE International Conference on Consumer Communications and Networking, Las Vegas, 11-13 January 2007, pp. 650-654.
- O. Younis and S. Fahmy, “Heed: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks,” Transactions on Mobile Computing, Vol. 3, No. 4, 2004, pp. 660-669.
- X.-S. Yang and S. Deb, “Cuckoo Search via Levy Flights,” Proceedings of World Congress on Nature & Biologically Inspired Computing, New Delhi, 9-11 December 2009, pp. 210-214.
- D. X. Shuai, X. Wang and R Gong, “A Generalized Particle Model for Social Coordination and Autonomy in MAS,” Proceedings of the 2nd IEEE International Conference on Services Systems and Services Management, Chongqing, 13-15 June 2005, pp. 985-990.