Application of Multiobjective Particle Swarm Optimization to Maximize Coverage and Lifetime of Wireless Sensor Network

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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.