Author(s)

Mukhdeep Singh Manshahia^1*, Mayank Dave², Satya Bir Singh¹

¹Department of Mathematics, Punjabi University, Patiala, India.
²Department of Computer Engineering, NIT, Kurukshetra, India.

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).

Improved Bat Algorithm, Congestion Control, Wireless Sensor Networks

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.