| 基于改进DV-Hop算法的无线传感器网络定位研究 |
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| 引用本文： | 李 鹏. 基于改进DV-Hop算法的无线传感器网络定位研究[J]. 重庆工商大学学报(自然科学版), 2014, 0(8): 46-50 |
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| 作者姓名： | 李 鹏 |
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| 作者单位： | 长江大学计算机科学学院,湖北荆州434023 |
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| 基金项目： | 湖北省教育厅优秀中青年资助项目（Q20111311）. |
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| 摘 要： | 在分析DV-Hop算法特点的基础上,提出了改进DV-Hop算法的无线传感器网络定位方法,通过粒子群优化算法优化每跳平均距离误差函数,经过多次迭代寻找最优解,使得未知节点与信标节点之间的跳段距离更加精确,通过三边测量法计算出的未知节点位置较精确,通过仿真实验表明：改进DV-Hop算法相比DV-Hop算法平均定位误差率低,定位效果良好.
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| 关 键 词： | DV-Hop算法 无线传感器网络 粒子群优化 |
Research on the Localization Method in Wireless Sensor Network Based on Improved DV-Hop Algorithm |
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| LI Peng. Research on the Localization Method in Wireless Sensor Network Based on Improved DV-Hop Algorithm[J]. Journal of Chongqing Technology and Business University:Natural Science Edition, 2014, 0(8): 46-50 |
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| Authors: | LI Peng |
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| Affiliation: | LI Peng (School of Computer Science, Yangtze River University, Hubei Jingzhou 434023, China) |
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| Abstract: | Based on the analysis of the features of DV-Hop algorithm, the localization method in wireless sensor network is proposed on the basis of improved DV-Hop algorithm, particle swarm optimization algorithm is used to optimize the error function of average hop size, the optimal solution is searched by multiple iterative optimizations so as to make the hop size between unknown node and beacon node more precise, then the localization of the unknown node is calculated more accurately by Trilateration. Simulation experiment shows that improved DV- Hop algorithm has lower average localization error rate and better localization effect by comparing with DV-Hop. |
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| Keywords: | DV-Hop algorithm wireless sensor network particle swarm algorithm |
| 本文献已被 CNKI 维普 等数据库收录！ |
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