| 大规模WSNs中多Sink节点优化部署遗传算法 |
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| 引用本文： | 范一鸣,秦本涛. 大规模WSNs中多Sink节点优化部署遗传算法[J]. 传感器与微系统, 2010, 29(6) |
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| 作者姓名： | 范一鸣 秦本涛 |
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| 作者单位： | 浙江工业大学,浙西分校,信息与电子工程系,浙江,衢州,324000 |
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| 基金项目： | 浙江省自然科学基金资助项目(Y1080023) |
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| 摘 要： | 大规模WSNs网络布局设计中,多Sink节点的选址是网络拓扑设计的关键步骤,它对于网络通信能耗的控制至关重要。提出了一种基于遗传进化算法的Sink节点优化选址算法,它利用遗传算法的全局寻优能力在有限的时间内获得问题的次优解,进而生成监测网络工作拓扑。仿真实验结果表明:与现有的启发式算法相比较,该算法所生成的网络布局结果对于全局能耗控制有明显改进。
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| 关 键 词： | 大规模无线传感器网络 Sink选址 拓扑设计 遗传算法 |
Genetic algorithm for multiple Sink node optimal deployment in large scale wireless sensor networks |
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| FAN Yi-ming,QIN Ben-tao. Genetic algorithm for multiple Sink node optimal deployment in large scale wireless sensor networks[J]. Transducer and Microsystem Technology, 2010, 29(6) |
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| Authors: | FAN Yi-ming QIN Ben-tao |
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| Affiliation: | FAN Yi-ming,QIN Ben-tao (Department of Information , Electronic Engineering,West Branch of Zhejiang University of Technology,Quzhou 324000,China) |
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| Abstract: | In design of large scale in wireless sensor networks(WSNs),multiple Sink node locating is the key step in networks topology.It is the most important to control energy-consumption of networks communication.An optimized locating algorithm based on genetic evolution for Sink node is presented.It used overall situation optimizing capability of genetic algorithm,obtain sub-optimal solution in limited time,and then generate work topology of monitoring networks.Simulation experiments show that compared with heuris... |
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| Keywords: | large scale WSNs Sink locating topology design genetic algorithm |
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