Energy Efficiency Using Particle Swarm Optimization with Secured Based Malicious Node Detection and Routing in WSN

Recent years have witnessed an increasing interest in Wireless Sensor Networks (WSNs) for various applications such as environmental monitoring and military field surveillance. WSN have number of sensor nodes that communicate wirelessly and it deployed to gather data for various environments. The existing research has issue with security and energy efficient routing in WSN. To overcome these issues, in this research, the Cluster Head (CH) is selected using PSO algorithm based on the best objective function values. The CH node has capability of rapid packet delivery ratio and better lower energy consumption. The PSO algorithm is used to select the optimal node and increases effective routing procedure. The routing process is done by using AODV protocol in this research. This is used to provide efficient path discovery and provides fast packet transmission and response. The Secured based Malicious node Detection and Routing (SMDR) approach is proposed to improve secured data aggregation in WSN. Thus the proposed PSO-SMDR scheme provides superior performance rather than the existing approaches. The result concludes that the proposed PSO-SMDR approach has lower energy consumption, lower end to end delay, higher packet delivery ratio and higher network lifetime than the existing approaches.