文献类型：期刊文献

中文题名：基于迭代的无线传感器网络三维定位算法

英文题名：Iteration-Based Localization Algorithm for Wireless Sensor Network in Three-Dimensional Space

作者：祁荣宾[1];李思瑾[1];马天义[2];钟伟民[1];钱锋[1]

机构：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237;[2]上海商学院计算机科学与技术系,上海200235

年份：2012

卷号：25

期号：5

起止页码：644

中文期刊名：传感技术学报

外文期刊名：Chinese Journal of Sensors and Actuators

收录：CSTPCD;;Scopus;北大核心:【北大核心2011】；CSCD:【CSCD2011_2012】；

基金：国家自然科学基金项目(61134007);中央高校基本科研业务费专项资金项目;上海市教育委员会科研创新基金资助项目(11YZ262);上海高校选拔培养优秀青年教师科研专项基金资助项目(Sxy09007)

语种：中文

中文关键词：无线传感器网络;三维定位;迭代;测距

外文关键词：wireless sensor network ; three-dimensional localization ; iteration ; ranging

摘要：针对目前无线传感器网络三维空间定位存在精度不高、计算复杂、传输数据量大等问题,提出了一种基于测距的分布式算法———高精度迭代三维定位算法(ILAH-3D)。该方法将经典二维算法AHLos(Ad-Hoc Localization System)扩展到三维空间,通过采用加权最小二乘法和加入定位节点升级锚节点的验证条件来减少累计误差,提高节点定位精度,并根据三维空间中节点的各种位置关系,给出了约束协作算法的执行条件,然后结合升级的锚节点再进行新一轮的定位运算。该方法计算简单、通信量小,与已有三维定位算法相比,在测距存在一定误差的情况下,依然可以达到很好的精度。
There exist low precision ,high computational complexity and large amount of data transmission for the localization problem of wireless sensor network in three-dimensional space. To overcome these shortcomings, a distributed algorithm based on distance is proposed, which is called iterative localization algorithm and with high- precision（ namely ILAH-3D）. This method extends the two-dimensional ,classical algorithm AHLos to be applied to the three-dimensional space. The cumulative errors can be reduced and localization precision can be improved by using the weighted least squares method and adding the upgraded validation condition of localized node. And the performing conditions of the constrained cooperation algorithm are given according to the various position relations of those nodes. Then localization algorithm of the new iteration is carried on by combining with the upgraded anchor nodes. The computing complexity of ILAH-3D is simple and its amount of communication is small. Compared with the existing three-dimensional localization algorithms, this proposed algorithm can achieve very good accuracy even though there are some errors in the ranging.