DEVELOPMENT OF AN ARTIFICIAL FISH SWARM ALGORITHM BASED ENERGY EFFICIENT TARGET TRACKING SCHEME IN WIRELESS SENSOR NETWORKS

📄 Project Abstract

vii ABSTRACT Optimal deployment of sensor node in other to ensure optimum network coverage is one of the challenging problems faced by Wireless Sensor Network (WSN) researchers due to the complexity and exhaustive nature of WSN. Target tracking problem is concerned with maximizing the lifetime of the network while continuously monitoring a set of targets.This dissertation presents an optimal deployment of WSN and target tracking scheme using the intelligent swarming behaviours of Artificial Fish Swarm Algorithm (AFSA). The preying, swarming and chasing behaviours of AFSA were initially replicated using MATLAB R2013b simulation environment. The position of network nodes were randomly deployed in a network coverage area of 60 square meters with a total of 60 sensor nodes of 4m radius and communication range of 15m using the replicated AFSA algorithm. Thereafter, the replicated AFSA was used to detect event based on target discovery probability model. A series of simulation were performed...