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计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

基于RSSI的WSN二维对数搜索定位算法

朱 莉1,顾能华1,姚英彪2,范一鸣1   

  1. (1. 衢州学院电气与信息工程学院,浙江 衢州 324000;2. 杭州电子科技大学通信工程学院,杭州 310018)
  • 收稿日期:2013-05-13 出版日期:2014-04-15 发布日期:2014-04-14
  • 作者简介:朱 莉(1975-),女,实验师、硕士,主研方向:无线信号处理,无线传感器网络;顾能华,实验师;姚英彪,副教授、博士;范一鸣,教授、硕士。
  • 基金资助:
    浙江省自然科学基金资助项目“大区域覆盖无线传感器网络中多sink节点的优化部署及拓扑控制研究”(Y1080023)。

RSSI-based Two-dimensional Logarithmic Search Localization Algorithm for WSN

ZHU Li 1, GU Neng-hua 1, YAO Ying-biao 2, FAN Yi-ming 1   

  1. (1. College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, China; 2. College of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)
  • Received:2013-05-13 Online:2014-04-15 Published:2014-04-14

摘要: 定位技术是无线传感器网络(WSN)应用的关键技术之一。针对WSN中的定位问题,提出一种基于接收信号强度指示 (RSSI)测距的二维对数分布式搜索定位算法。采用改进的RSSI测距模型测量节点之间的距离,利用质心定位算法结果作为搜索起点,设计一种基于最小加权距离误差和的目标函数,对于每个节点通过二维对数搜索的方法,搜索具有最小加权距离误差和的点作为定位位置。仿真实验比较了质心定位算法、不带权值的二维对数搜索定位算法、基于RSSI的二维对数搜索定位算法在不同条件下的定位性能,结果表明基于RSSI的二维对数搜索定位算法的定位精度远优于质心定位算法,相比不带权值的二维对数搜索定位算法约提高了0.02R。

关键词: 无线传感器网络, 定位问题, 接收信号强度指示, 测距, 二维对数搜索, 权值

Abstract: Localization technology is one of key technologies in Wireless Sensor Network(WSN) application. Focusing on the localization problem of WSN, this paper proposes a Received Signal Strength Indicator(RSSI)-based two-dimensional logarithmic search localization algorithm. The algorithm adopts modified RSSI-based ranging model to estimate the distance of nodes, utilizes the results of centroid localization algorithm as search initial point, and employs two-dimensional logarithmic search method whose objective function is to minimize the sum of distance error with improved weighting factors to distributed realize self-localization. Experiments compare the localization performance of centroid localization algorithm, two-dimensional logarithmic search algorithm without weight, and two- dimensional logarithmic search algorithm based on RSSI. Results show that localization precise performance of proposed algorithm is much better than that of centroid algorithm, and improves 0.02R compared with two-dimensional logarithmic search algorithm without weight.

Key words: Wireless Sensor Network(WSN), localization problem, Received Signal Strength Indicator(RSSI), ranging, two-dimensional logarithmic search, weight

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