| 无线传感器网络中基于微粒群算法的优化覆盖机制 |
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| 引用本文： | 郭怡婷,王俊年.无线传感器网络中基于微粒群算法的优化覆盖机制[J].计算机与现代化,2009(6). |
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| 作者姓名： | 郭怡婷 王俊年 |
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| 作者单位： | 1. 湖南科技大学信息与电气工程学院,湖南,湘潭,411201
2. 湖南科技大学信息与电气工程学院,湖南,湘潭,411201;湖南科技大学知识处理与网络化制造湖南省普通高等学校重点实验室,湖南,湘潭,411201 |
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| 基金项目： | 湖南省自然科学基金，湖南省教育厅优秀青年科研项目 |
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| 摘 要： | 建立了无线传感器网络节点覆盖优化数学模型,设计了一种基于二进制随机多目标微粒群优化(SMOPSO)算法.根据最大化覆盖网络目标函数和最小化传感器节点的利用率目标函数进行优化算法操作,以达到降低网络冗余,延长网络生存时间的效果.仿真实验结果表明,本文提出的无线传感器网络优化覆盖方法能够满足节点利用率低、覆盖率高的要求.
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| 关 键 词： | 无线传感器网络 优化覆盖 节点利用率 随机多目标PSO |
Optimal Coverage Mechanism Based on PSO Algorithm in Wireless Sensor Networks |
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| GUO Yi-ting,WANG Jun-nian.Optimal Coverage Mechanism Based on PSO Algorithm in Wireless Sensor Networks[J].Computer and Modernization,2009(6). |
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| Authors: | GUO Yi-ting WANG Jun-nian |
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| Affiliation: | 1.School of Information and Electrical Engineering;Hunan University of Science and Technology;Xiangtan 411201;China;2.Hunan Universities Key Laboratory of Knowledge Processing and Networked Manufacturing at Hunan University of Science and Technology;China |
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| Abstract: | An optimal model for coverage in wireless sensor network is established.Then a Stochastic Multi-objective PSO(SMOPSO) based on binary coding is proposed,to compute the max-coverage area of working sensors and the min-number of working sensors.And the network redundancy are reduced to extend network lifetime.The simulated results show that the optimal coverage scheme proposed in this paper can satisfy the requirement of low nodes utilization rate and high coverage rate. |
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| Keywords: | wireless sensor networks optimal coverage nodes utilization rate stochastic multi-objective PSO |
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