Congestion aware Adaptive Reverse Routing Strategy for Improving QoS in WSN

Abstract

Abstract General purpose routing techniques for a WSN cannot be capable to give adequate functioning for various communication. This creates low adaptively provided with a general purpose routing technique ensuing in several connections reaching extremely congested. Ant Colony Optimization-Based Fault-Aware Routing (ACO-FAR) is used to balance the load in WSN. In this scheme, the node can calculate the present routes as well as deviation packets via a least congested path [17]. However, this scheme lacking the efficient awareness of bandwidth distribution, guaranteed quality of service in the WSN. To overcome these problems in this paper, Congestion aware Adaptive Reverse Routing strategy (CARS) for Improving Quality of Service (QoS) in WSN is proposed. It is a highly adaptive congestion free routing algorithms that also allocate traffic more equally and reduce network congestion. Reverse routing is used for diminishes the energy utilization and avoid the multiple retransmission in the network. Average delay as well as throughput is the two parameters that are utilized to calculate the performance of routing strategy. Simulation results demonstrate that throughput 36.76% enhanced dramatically whereas preserving 40.31%lesser latency performance.