Hybrid Approach for Energy Optimization in Wireless Sensor Networks Using PSO

Abstract

Wireless sensor network (WSN) consists of sensor nodes which are spatially distributed for monitoring physical or environmental applications. In these networks the nodes have power source that is difficult to replace. Hence energy conservation is an important factor in the network in order to prolong the lifetime of the network. In this paper two clustering based algorithms, a heuristic and an evolutionary algorithm for WSN are discussed.  This paper proposes an optimal radius algorithm and hybrid Particle Swarm Optimization (PSO) algorithm for wireless sensor network. These proposed algorithms are involved for proper selection of cluster head to increase the life time of the WSN. The simulation results display that the proposed algorithm extends the life time of the network by reducing the number of dead nodes when compared to basic PSO and LEACH algorithm. It also has better throughput and high residual energy when compared to LEACH and PSO.