无线传感器网络中移动目标的定位及误差分析
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摘要
为了提高无线传感器网络中移动目标的室内定位精度,采用插值算法与信号传播通道模型相配合,结合X-Bee无线传感器网络技术,提出了移动目标实际位置的计算方法.通过该方法计算出理想距离,参照实际距离进行修正,建立了一套无线接收信号强度定位算法.结果表明:该算法的动态权重法误差值和固定权重法误差值在功率级别为Lowest时较其他功率级别小,系统定位精度较高;且功率级别为Lowest时,动态权重法误差值小于固定权重法.
In order to improve the indoor positioning precision of moving targets in wireless sensor networks,the method of calculating the actual position of moving targets by using interpolation algorithm to match the signal propagation channel model,combining with X-Bee wireless sensor network technology,is put forward.With this method,the ideal distance is calculated,and then corrected with reference to the actual distance,to establish a set of wireless receiving signal strength localization algorithm.The result shows that when the power level is Lowest,the error value of dynamic weighing method and fixed weighing method of this algorithm is smaller than those in other power levels,and the system positioning accuracy is better.Bsides,when the power level is Lowest,the error value of dynamic weighing method is smaller than that of fixed weighing method.
In order to improve the indoor positioning precision of moving targets in wireless sensor networks,the method of calculating the actual position of moving targets by using interpolation algorithm to match the signal propagation channel model,combining with X-Bee wireless sensor network technology,is put forward.With this method,the ideal distance is calculated,and then corrected with reference to the actual distance,to establish a set of wireless receiving signal strength localization algorithm.The result shows that when the power level is Lowest,the error value of dynamic weighing method and fixed weighing method of this algorithm is smaller than those in other power levels,and the system positioning accuracy is better.Bsides,when the power level is Lowest,the error value of dynamic weighing method is smaller than that of fixed weighing method.
引文
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[2]HOSSAIN S,ARIFFIN S H S,FISAL N.Accuracy Enhancement of Fingerprint Indoor Positioning System[C]//2012Third International Conference on Intelligent Systems Modeling and Simulation.Piscataway:IEEE,2012:600.
[3]李文仲,段朝玉.Zigbee2006无线网络与无线定位实战[M].北京:北京航空航天大学出版社,2008.LI Wenzhong,DUAN Chaoyu.Combat of Wi-Fi and Wireless Location in Zigbee2006[M].Beijing:Beihang University of Aeronautics and Astronautics Press,2008.(in Chinese)
[4]LIU Y H,YIU C L,PATIL A P.Landmarc:Indoor Location Sensing Using Active RFID[J].Wireless Networks,2004,10(6):701.
[5]洪博,徐国祥,何通能.WSN的定位技术在污染源监测系统中的应用[J].科技信息,2010(9):84.HONG Bo,XU Guoxiang,HE Tongneng.Application of Location Algorithm in Monitor System of Pollution Emergency[J].Science&Technology Information,2010(9):84.(in Chinese)
[6]林月美,郑佳春.基于无线传感网络的航标系统节点定位研究[J].集美大学学报(自然科学版),2010,15(3):190.LIN Yuemei,ZHENG Jiachun.Research on Node Location for Navigation Mark System Based on WSNs[J].Journal of Jimei University(Natural Science),2010,15(3):190.(in Chinese)
[7]徐燕,石江宏,吴晓芳.无线传感器网络中基于RSSI差值的改进定位算法[J].厦门大学学报(自然科学版),2008,47(3):361.XU Yan,SHI Jianghong,WU Xiaofang.An Improved Localization Algorithm Based on RSSI-mrgin in WSN[J].Journal of Xiamen University(Natural Science),2008,47(3):361.(in Chinese)
[8]章坚武,张璐,应瑛,等.基于ZigBee的RSSI测距研究[J].传感技术学报,2009,22(2):285.ZHANG Jianwu,ZHANG Lu,YING Ying,et al.Research on Distance Measurement Based on RSSI of ZigBee[J].Journal of Sensors Actuators,2009,22(2):285.(in Chinese)
[9]张佳.无线传感器网络定位技术研究[D].西安:西安科技大学,2013.ZHANG Jia.A Research of Wireless Sensor Network Locaction Technology[D].Xi’an:Xi’an University of Science and Technology,2013.(in Chinese)