RELIABLE ROUTING USING ADAPTIVE PARTICLE SWARM OPTIMIZATION IN WIRELESS SENSOR NETWORKS

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.