Research on Particle Swarm Optimization Strategy for Forest Fire Detection System Based on Wireless Sensor Networks
In order to improve the network performance, to increase network coverage rate, to achieve the maximization of network coverage and extend the network of life in the forest fire detection system, the present research has proposed a Wireless Sensor Networks (WSNs) coverage Particle Swarm Optimization (PSO) strategy on the basis of probability measuring model.Through the PSO, the strategy achieves coverage control for the optimization objectives of network coverage rate and analyzes the effect of coverage performance about sensing radius. The coverage rate has increased and convergence rate has speeded up with perceived radius increased gradually. The simulation shows that effective coverage has reached 85.63 percent. Compared with the Conventional Genetic Algorithms (CGA) about the optimization effectiveness, the coverage rate has increased by 0.64 percent and the convergence rate has increased 13.7 percent.Therefore, the PSO strategy has a better coverage optimization results than CGA.
wireless sensor networks particle swarm optimization forest fire effective coverage rate optimization strategy
Lin Zhu-liang Ma Shi-ping Tao Zuo-ying
Research Center of Electric Automation Zhejiang Normal University, Zhejiang Jinhua,321004 Jinhua Advanced Technical School, Zhejiang Jinhua ,321017
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3608-3612
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）