| 基于Voronoi图的无线传感器网络节点定位改进算法 |
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| 引用本文： | 黄科军,吴振强. 基于Voronoi图的无线传感器网络节点定位改进算法[J]. 青海师范大学学报(自然科学版), 2013, 29(1): 17-21 |
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| 作者姓名： | 黄科军 吴振强 |
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| 作者单位： | 1. 青海师范大学网络信息管理中心,青海西宁,810008
2. 陕西师范大学计算机科学学院,陕西西安,710062 |
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| 摘 要： | 在基于Voronoi图的定位算法中,因使用了接收到锚节点的接收信号强度(RSSI)而影响定位精确性.本文对Voronoi图定位算法进行改进,修正了RSSI的大小顺序,充分利用了收到的锚节点信息,实现了减少Voronoi区域交集为空的可能性,增加了定位精确性,使该算法可以适用于非视距、anchor节点稀少的环境.
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| 关 键 词： | 节点定位 无线传感器网络 Voronoi图 接收信号强度(RSSI) |
Positioning algorithm based on voronoi diagram for modes in wieless sensor network |
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| HUANG Ke-jun , WU Zhen-qiang. Positioning algorithm based on voronoi diagram for modes in wieless sensor network[J]. Journal of Qinghai Normal University(Natural Science Edition), 2013, 29(1): 17-21 |
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| Authors: | HUANG Ke-jun WU Zhen-qiang |
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| Affiliation: | 1. Network ＆ Information Center,Qinghai Normal University, Xining 810008, China; 2. School of Computer Science , Shaanxi Normal University, Xi;an 710062, China) |
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| Abstract: | Voronoi Diagram-based location algorithm has low orientation precision as it uses receiving signal strength （RSSI） from anchor node. We improved Voronoi Diagram-based location algorithm by using the information of anchor node and modifying RSSI size order. The improved algorithm reduces the possibility of empty intersection of Voronoi regions while enhancing the positioning accuracy and adapts for the environment of NLOS and sparse anchor node. |
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| Keywords: | localization wireless sensor networks Voronoi diagrams RSSI |
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