Bio inspired congestion control mechanism for Wireless Sensor Networks

Abstract

Problem of Congestion in Wireless Sensor Network (WSN) is an area which draws attention of various researchers in recent years. The challenge lies in developing a model for routing which can find the optimized route on the basis of distance between source and destination and the residual energy of the node. Various models have been proposed and developed from time to time and their merits and demerits have been discussed. This paper shows an implementation of the Improved Bat Algorithm which is based on the echolocation of bats to control congestion in Wireless Sensor Networks at transport layer. Simulation results have shown that as the number of hops in the path of data transmission increases the Queue length is decreases. The Congestion in the network decreases as the packets are transferred through different routes rather than collecting on a single node. Two important factors such as network lifetime and throughput are also compared with CODA (Congestion Detection and Avoidance) and PSO (Particle Swarm Optimization) algorithm.