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Energy conservation and congestion control are widely researched topics in Wireless Sensor Networks in recent years. The main objective is to develop a model to find the optimized path on the basis of distance between source and destination and the residual energy of the node. This paper shows an implementation of nature inspired improved Bat Algorithm to control congestion in Wireless Sensor Networks at transport layer. The Algorithm has been applied on the fitness function to obtain an optimum solution. Simulation results have shown improvement in parameters like network lifetime and throughput as compared with CODA Congestion Detection and Avoidance, PSO Particle Swarm Optimization algorithm and ACO Ant Colony Optimization.

KEYWORDS

Improved Bat Algorithm, Congestion Control, Wireless Sensor Networks

Cite this paper

Manshahia, M. , Dave, M. and Singh, S. 2016 Improved Bat Algorithm Based Energy Efficient Congestion Control Scheme for Wireless Sensor Networks. Wireless Sensor Network, 8, 229-241. doi: 10.4236-wsn.2016.811018.





Autor: Mukhdeep Singh Manshahia1*, Mayank Dave2, Satya Bir Singh1

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



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