| 动态无线传感器网络的改进蒙特卡罗定位算法 |
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| 引用本文： | 朱海平,于红丞,钟小勇,余钱红.动态无线传感器网络的改进蒙特卡罗定位算法[J].传感技术学报,2012,25(9):1284-1288. |
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| 作者姓名： | 朱海平 于红丞 钟小勇 余钱红 |
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| 作者单位： | 华中科技大学,数字制造装备与技术国家重点实验室,武汉430074 |
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| 基金项目： | 国家863课题项目，国家科技支撑计划项目 |
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| 摘 要： | 针对于无线传感器网络中移动节点的定位问题,在传统蒙特卡罗定位算法的基础上,提出了一种改进算法。该算法通过构建接收信号强度指示测距模型来限制样本区域以求提高采样效率。仿真结果表明,与MCL、MCB等其他蒙特卡罗定位算法相比,改进算法在不同的时间、不同的锚节点密度、不同的节点移动速度等情况下,都具有更好的定位精度。
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| 关 键 词： | 动态无线传感器网络 节点定位 蒙特卡罗定位算法 接收信号强度指示 |
An Improved Monte Carlo Localization Algorithm for Mobile Wireless Sensor Networks |
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| ZHU Haiping
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YU Hongcheng
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ZHONG Xiaoyong
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YU Qianhong.An Improved Monte Carlo Localization Algorithm for Mobile Wireless Sensor Networks[J].Journal of Transduction Technology,2012,25(9):1284-1288. |
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| Authors: | ZHU Haiping YU Hongcheng ZHONG Xiaoyong YU Qianhong |
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| Affiliation: | (State Key Laboratory of Digital Manufacturing Equipment & Technology,Huazhong University of Science & Technology,Wuhan 430074,China) |
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| Abstract: | Aiming at the localization of mobile nodes in wireless sensor networks, an improved algorithm is proposed based on the conventional MCL algorithm. The RSSI ranging model is built in the improved algorithm to restrict the sampling area for improving the sampling efficiency. The simulation result shows that this improved algorithm obtains better localization precision in in different time steps, density of anchor nodes and movement velocity compared with other localization algorithms such as MCL and MCB which are based on Monte Carlo method. |
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| Keywords: | mobile wireless sensor networks node localization Monte Carlo localization Algorithm RSSI |
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