第29卷第12期 2016年12月
传感技术学报
CHINESE JOURNAL OF SENSORS AND ACTUATORS
Vol.29No.12 Dec.2016
AWholeProcessOptimizationDistributedLocalizationStrategy
BasedonRSSIinWirelessSensorNetworks
ZHANGXinrong,XIONGWeili,XUBaoguo
(School of Interner of Things Engineering -Jiangnan U/nizersity, Wuxi Jiangsu 214122, China
Abstract : Aiming at the problem that there is a great contradiction between the precision and cost of the current lo cation algorithm, a new cooperative localization algorithm based on received signal strength indicator (RSSI) obser-vation model is proposed. Using effective calculation method, the positioning calculation is carried out by obtaining the distance data and the optimally selecting anchor and applying the Taylor expansion iterative refinement method to optimize the position, finally obtains the location estimates with high positioning accuracy. In the positioning pro-cess, the concept of cooperative positioning is introduced, in which the positioned node meeting the certain require-ments will be upgraded to anchor node, so that it can participate in the positioning of other nodes , and improve the coverage and positioning accuracy. Simulation experiment results show that on the premise of the same network pa-rameters, the positioning effect of the proposed algorithm is close to the Taylor series expansion algorithm based on the actual coordinates, and much higher than the basic least square algorithm. And because the storage space is small, the positioning accuracy is improved rapidly with the decrease of ranging error , which can meet the needs of large-scale wireless sensor networks.
Key words: wireless sensor network, RSSI ranging, optimization algorithms, cooperative localization
EEACC:6150;7110;5210
doi:10.3969/j.issn.10041699.2016.12.016
一种基于RSSI的无线传感器网络
全程优化分布式定位策略
张新荣，熊伟丽，徐保国
（江南大学物联网工程学院，江苏无锯214122）
摘要：针对目前定位算法存在精度与成本有较大盾的间题，在定位实施各阶段采取有效措施，提出一种新的基于接收信号强度指示(RSSI)观测模型的协作定位算法。该算法以有效计算方式获得距离数据，优选锚节点参与定位计算，通过泰勒展开送代求精法实施位置优化，最终获得满足要求且定位精度较高的位置估计。引人协作定位思想，将满足一定要求的已定位节点升级为错节点，参与其他节点的定位，提高了定位的覆盖率和定位精度。伤真实验结果显示：网络参数相回的条件下，本文算法定位效果接近基于实际坐标的泰勘级数展开算法，而远高于基本的最小二乘定位算法，且由于所需存储空间小，其定位
精度也随测距误差的减小而快速提高，能够满足大规模无线传感器网络的定位需求。关键词：无线传感器网络；RSSI测距：优化算法：协作定位
中图分类号：TP393.0
文献标识码：A
无线传感器网络WSN（WirelessSensorNetworks）由大量传感器自主组网而成，通常密集分布于监测区域内，通过传感器的无线通信机制进行信息交互，能够感知、采集和处理监测区域内的物理信
收稿日期：20160525
修改日期：201606-28
文章编号：1004-1699(2016)12-1875-07
息。近年来，WSN发展迅猛，常见应用有军事侦察与监控、环境信息监测、宇宙空间探测和应急救援救灾等前沿领域"。监测区域内异常事件发生的位置信息对监测活动意义重大，因此，传感器节点定