http://www.iaeme.com/IJARET/index.asp 370 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 8, August 2020, pp. 370-380, Article ID: IJARET_11_08_037 Available online at http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=8 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI: 10.34218/IJARET.11.8.2020.037 © IAEME Publication Scopus Indexed RELIABLE ROUTING USING ADAPTIVE PARTICLE SWARM OPTIMIZATION IN WIRELESS SENSOR NETWORKS Kavitha V Research Scholar, Saveetha School of Engineering, Chennai, India Dr. Kirupa Ganapathy Professor, Saveetha School of Engineering, SIMATS, Chennai, India ABSTRACT Bandwidth, energy and distance are the major criteria for identifying a reliable route from source to destination in Wireless Sensor Networks. Limited bandwidth, energy failure and long communication range are the challenging factors for the whole system thereby decreases the rate of packet delivery. Therefore detecting the routes with dynamic bandwidth nodes with high signal strength and low energy mortal rate is essential for selecting the highly reliable route. By using the swarm intelligence technique named Adaptive Particle Swarm Optimization highly reliable routes are selected for data transmission. Therefore Reliable Routing using APSO is proposed here. Here Gbest nodes are identified using node fitness rate measurement. Increasing network bandwidth simultaneously increases the delivery rates of the packet. Therefore, the nodes present in the network should manage the signal strength, energy level and should able to detect an efficient path with dynamic bandwidth for throughput enhancement of the network. Simulation analysis is carried out for both proposed and conventional in order to prove the efficiency of the proposed scheme. Key words: Adaptive Particle Swarm Optimization, Node Fitness Measure, Dynamic Bandwidth, Reliable Route, Wireless Sensor Network. Cite this Article: Kavitha V and Kirupa Ganapathy, Reliable Routing using Adaptive Particle Swarm Optimization in Wireless Sensor Networks, International Journal of Advanced Research in Engineering and Technology, 11(8), 2020, pp. 370-380. http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=8 1. INTRODUCTION Wireless Sensor Networks (WSN) had a potential growth in all remote technological platforms with huge and novel applications. WSN has become a significant innovation in realizing numerous applications including both simple phenomenon checking applications and durable information flow applications, for example, military activities, infrastructure