摘要： 提出基于概率测量模型的改进粒子群优化方法，以网络有效覆盖率为优化目标，通过改进粒子群算法实现无线传感器网络的覆盖控制。分析传感半径以及离散化栅格点数对覆盖性能的影响。仿真实验表明，利用改进粒子群优化方法的有效覆盖率达到88.22%，证明了该方法的有效性。

关键词: 无线传感器网络, 粒子群优化, 覆盖控制, 二进制粒子群优化

Abstract: This paper proposes an improved Particle Swarm Optimization(PSO) method based on probability of measurement model. It is target at the effective coverage of the network to carry out coverage control. The sensor coverage radius and discrete grid points of the coverage performance are analyzed. The effective coverage of improved PSO method reached 88.22% by simulating, and it indicates that the method is effective.

Key words: Wireless Sensor Network(WSN), Particle Swarm Optimization(PSO), coverage control, Binary PSO(BPSO)

中图分类号: 

• TP393