| 基于改进PSO算法的WSN覆盖优化方法 |
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| 引用本文： | 朱海荣,李平,程剑. 基于改进PSO算法的WSN覆盖优化方法[J]. 计算机工程, 2011, 37(8): 82-84. DOI: 10.3969/j.issn.1000-3428.2011.08.028 |
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| 作者姓名： | 朱海荣 李平 程剑 |
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| 作者单位： | 长沙理工大学计算机与通信工程学院,长沙,410114 |
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| 基金项目： | 湖南省自然科学基金资助项目，湖南省科技计划基金资助项目 |
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| 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。
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| 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 |
Optimization Method for Wireless Sensor Network Coverage Based on Improved PSO Algorithm |
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| ZHU Hai-rong,LI Ping,CHENG Jian. Optimization Method for Wireless Sensor Network Coverage Based on Improved PSO Algorithm[J]. Computer Engineering, 2011, 37(8): 82-84. DOI: 10.3969/j.issn.1000-3428.2011.08.028 |
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| Authors: | ZHU Hai-rong LI Ping CHENG Jian |
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| Affiliation: | (College of Computer and Communication,Changsha University of Science & Technology,Changsha 410114,China) |
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| 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. |
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| Keywords: | Wireless Sensor Network（WSN） Particle Swarm Optimization（PSO） coverage control Binary PSO（BPSO） |
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