| 基于混合蛙跳的无线传感器网络定位方法 |
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| 引用本文： | 江宇波,赵攀,邱玲. 基于混合蛙跳的无线传感器网络定位方法[J]. 四川轻化工学院学报, 2014, 0(4): 34-37 |
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| 作者姓名： | 江宇波 赵攀 邱玲 |
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| 作者单位： | 四川理工学院计算机学院,四川自贡643000 |
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| 基金项目： | 四川省教育厅重点项目（13ZA0118）;人工智能四川省重点实验室开放基金项目（2012RYY02）;四川理工学院培育项目（2012PY13）;企业信息化与物联网检测技术四川省高校重点实验室项目（2013WYJ01） |
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| 摘 要： | 为了解决无线传感器网络未知节点的定位问题,提出了一种新的三维空间定位方法.首先给出了未知节点位置的计算方法和误差评价模型,并利用混合蛙跳算法建立了评价模型的求解算法SFLL.最后,利用仿真实验,对比了与其它算法之间的性能状况,结果表明SFL具有较好的适应性.
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| 关 键 词： | 无线传感器网络 定位 最小二乘法 混合蛙跳 |
Node Localization Method of Wireless Sensor Network Based on Shuffled Frog Leaping |
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| JIANG Yubo,ZHAO Pan,QIU Ling. Node Localization Method of Wireless Sensor Network Based on Shuffled Frog Leaping[J]. Journal of Sichuan Institute of Light Industry and Chemical Technology, 2014, 0(4): 34-37 |
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| Authors: | JIANG Yubo ZHAO Pan QIU Ling |
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| Affiliation: | (School of Computer Science, Sichuan University of Science ＆ Engineering, Zigong 643000, China) |
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| Abstract: | In order to mitigate the node localization accuracy in wireless sensor network, a new three-dimensional locali- zation method is proposed. At first, the calculation method and error evaluation model of unknown node is presented. Then, an evaluation algorithm SFLL is proposed by shuffled frog leaping. At last, a mathematic simulation is conducted. Compared to the performances of other algorithms, the results show that SFLL has better adaptability. |
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| Keywords: | wireless sensor network localization Least Squares Shuffled Frog Leaping |
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