Application of Multiobjective Particle Swarm Optimization to Maximize Coverage and Lifetime of Wireless Sensor Network
The autonomous nodes used for monitoring environments are known as Wireless Sensor Networks. The major use of Multi-Objective particle swarm optimization for maximizing coverage & life time using wireless sensor networks is described. Wireless sensor networks are being tremendous popular due to increasing number of applications for these networks. This paper introduces a proposal to extend heuristic called "Particle Swarm Optimization" (PSO) to deal with Multi-objective optimization problems. This paper describes a new approach for energy efficient layout of wireless sensor network in which sensors communicate with each other to transmit their data to a high energy communication node which acts as an interface between data processing unit and sensors.