Cluster Based Routing Scheme for Heterogeneous Nodes in WSN–A Genetic Approach

Abstract

Wireless Sensor Network (WSN) is a propelled key region of research which helps in distinguishing numerous unmanned applications in woods based dangerous zones. The wireless sensor node should function for a long interval by utilizing the available energy resources and should full fill reliability by means of data transmission, even any one of the node fails. Hence in this paper we proposed a new hybrid approach in routing protocol by combining Particle Swarm Optimization (PSO) routing protocol with clustering algorithm. Here the approach focuses fully on Ant Colony Optimization & Bee Colony Optimization (ACO & BCO) on PSO routing protocol and K-Means clustering algorithm for illustrating the clusters of node or grouping the nodes. The proposed approach is tested for its proficiency, performance, energy consumption level and reliability using OMNETPP. The experimental results are shown in the form of graph.