Carrier Mobile base Station for Wireless Sensor Network using Particle Swarm Optimization

Abstract

Wireless Sensor Network is becoming progressively important and challenging research area. A wireless Sensor Network consists of spatially distributed sensor nodes to monitor physical and environmental condition to pass their data through the network to a base station. Base Station in a Sensor Network is usually a node with high processing power, high storage capacity and the battery used can be rechargeable, the base station can be utilized to collect data from each sensor node in the sensing area by moving closer to the transmitting node. Base station design parameters, such as base station antenna height and effective radiated power (ERP) are determined by trading-off two design objectives: (a) coverage and (b) economic efficiency which are found to be in conflict. It is evaluated that the conventional approach is unable to optimize these design objectives simultaneously while with PSO algorithm, it is possible to find a set of values for base station antenna height and ERP that trade-off between cell coverage and its economic efficiency. In the proposed method, the fitness function is formed by taking weighted sum of two design objectives as mentioned. A homogeneous traffic environment is evaluated with the proposed technique. This paper also focuses on energy efficient protocol for the movement of mobile base station using PSO method in wireless sensor Network. Simulation results demonstrate that the proposed protocol can improve the network lifetime, data delivery and energy consumption compared to the existing energy efficient protocol developed for this network.