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基于分治求精的无线传感器网络节点定位算法
引用本文:刘瑜,衣晓,何友. 基于分治求精的无线传感器网络节点定位算法[J]. 系统工程与电子技术, 2012, 34(9): 1906-1913. DOI: 10.3969/j.issn.1001-506X.2012.09.27
作者姓名:刘瑜  衣晓  何友
作者单位:海军航空工程学院信息融合技术研究所, 山东 烟台 264001
基金项目:山东省自然科学基金(ZR2011FQ002)资助课题
摘    要:节点自身定位是无线传感器网络应用的支撑技术之一。将分治法运用到无线传感器网络节点自身定位问题中,研究了锚节点位置关系对节点定位的影响,设计了基于分治求精的无线传感器网络节点定位算法(divide and conquer and refinement method based localization algorithm, DRBLA)。DRBLA采用先分而治之、再整体求精的思想,根据锚节点位置关系对定位的影响,有效筛选锚节点构成组合分别对未知节点初步定位,随后加权求精得出最终定位结果。DRBLA不需要额外添加硬件,通信量小且容易实现。仿真结果显示,相对于传统基于测距的定位算法,DRBLA具有明显的优越性,尤其是可以利用较少的锚节点取得较高的定位精度。

关 键 词:无线传感器网络  节点自身定位  分治法  加权求精

Divide-and-conquer and refinement method based localization algorithm for wireless sensor networks
LIU Yu , YI Xiao , HE You. Divide-and-conquer and refinement method based localization algorithm for wireless sensor networks[J]. System Engineering and Electronics, 2012, 34(9): 1906-1913. DOI: 10.3969/j.issn.1001-506X.2012.09.27
Authors:LIU Yu    YI Xiao    HE You
Affiliation:Research Institute of Information Fusion,Naval Aeronautical and Astronautical University, Yantai 264001, China
Abstract:The node self-localization is one of the supporting technologies in wireless sensor networks. A divide-and-conquer and refinement method based localization algorithm (DRBLA) for wireless sensor networks is proposed. First, the received signal strength indicator is translated into distance and the anchors are seriated in clockwise order. Then, the effective anchors are selected out orderly to estimate the coordinate of unknown nodes and a verifying node is selected out to identify the estimate coordinate. Finally, the weighted centroid of all the cursory coordinates is identified as the location result. No added hardware is needed in this algorithm and the communication spending is very low. This algorithm is compared with other traditional localization schemes and simulation results indicate the effectiveness of DRBLA whether anchors are placed regularly or randomly. Especially, it can get a high localization accuracy with low anchor density.
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