| 基于RSSI的WSN节点室内定位分析 |
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| 引用本文： | 金彦亮,薛用,张勇. 基于RSSI的WSN节点室内定位分析[J]. 上海大学学报(自然科学版), 2012, 18(5): 470-474. DOI: 10.3969/j.issn.1007-2861.2012.05.006 |
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| 作者姓名： | 金彦亮 薛用 张勇 |
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| 作者单位： | 上海大学 特种光纤与光接入网省部共建重点实验室，上海 200072 |
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| 基金项目： | 上海市重点学科建设资助项目（S30108）;上海市科委重点实验室资助项目（08DZ2231100）;上海市科委重点资助项目（10511501303） |
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| 摘 要： | 基于实验的基础，对基于接收信号强度（received signal strength indication，RSSI）的无线传感器网络（wireless sensor network，WSN）节点室内定位的几种不同情况进行分析.根据室内无线传播模型和实际测量数据得到RSSI室内传播模型；比较在不同位置的未知节点定位精度的不同；针对三点定位结果不理想的问题，采用粒子群优化（particle swarm optimization，PSO）算法对定位结果进行优化；比较不同数量的源节点对于节点定位精度的影响.当信标节点数量比较多时，通过筛选一些可靠的信标节点来提高定位精度.
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| 关 键 词： | 接收信号强度 粒子群优化算法 室内节点定位 无线传感器网络 |
| 收稿时间： | 2011-09-21 |
Localization of RSSI-Based Indoor WSN Nodes |
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| JIN Yan-liang,XUE Yong,ZHANG Yong. Localization of RSSI-Based Indoor WSN Nodes[J]. Journal of Shanghai University(Natural Science), 2012, 18(5): 470-474. DOI: 10.3969/j.issn.1007-2861.2012.05.006 |
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| Authors: | JIN Yan-liang XUE Yong ZHANG Yong |
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| Affiliation: | Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China |
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| Abstract: | This paper analyzes several conditions of received signal strength indication (RSSI) indoor node localization based on experiments. An RSSI indoor propagation model is established using an indoor wireless communication model and the measured data. Different positioning precision of the unknown nodes in different locations are compared. The particle swarm optimization (PSO) algorithm is used to optimize the locating results. Experimental results show that the PSO algorithm has good performance. The influence of different number of beacon nodes is analyzed for the node positioning accuracy. The experiment shows that the beacon node number affects the positioning accuracy to a certain extent. When there are too many beacon nodes, reliable ones should be chosen as to ensure the localization precision. |
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| Keywords: | indoor node localization particle swarm optimization (PSO) algorithm received signal strength indication (RSSI) wireless sensor network (WSN) |
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