Network Coverage Optimization Strategy in Wireless Sensor Networks Based on Particle Swarm Optimization

i Acknowledgement The authors would like to thank Mohammed Hamid for his professional and effective supervision and providing the initial insights of applying particle swarm optimization algorithms to the coverage problem. His comments were important factors that lead to the development of the optimization strategy. Abstract Wireless sensor network is an intelligent network system which has the self-monitoring functionality. It consists of many low-cost, low-power and small-sized sensor nodes that can communicate with each other to perform sensing and data processing. Acting as an important role in the system, network coverage usually has a huge effect on the system's lifetime. In this thesis, particle swarm algorithm was used as a method to optimize the coverage in the coverage of wireless sensor network. A network coverage optimization strategy based on particle swarm optimization was proposed and MATLAB was used as a tool to apply the algorithm. The model used in this thesis is the probability sensing model and the coverage type is area coverage. Effectiveness of the algorithm is proved by simulation. The simulation of the algorithm suggests the optimal deployment can be determined if a certain parameter which in this thesis is the sensing range is given.