基于节点相关系数的RSSI定位算法研究
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摘要
针对无线传感器网络中传统的RSSI定位算法定位精度低的问题,在此基础上提出一种基于分布的节点相关
Aiming at the problem of low positioning accuracy of the traditional RSSI positioning algorithm in wireless sen-sor networks,a method based on distributed node correlation coefficients is proposed. In the method,the anchor nodes in the target region are screened by using the constraint conditions,so as to select the anchor nodes with large correlation coefficients.The positioning is realized in the selected region with large correlation coefficients. The influence of the node distribution on the positioning accuracy is demonstrated theoretically,and the larger the distributed node correlation coefficient is,the better the node positioning effect is. A simulation experiment was carried out. The results verified that the algorithm can improve the posi-tioning accuracy.
Aiming at the problem of low positioning accuracy of the traditional RSSI positioning algorithm in wireless sen-sor networks,a method based on distributed node correlation coefficients is proposed. In the method,the anchor nodes in the target region are screened by using the constraint conditions,so as to select the anchor nodes with large correlation coefficients.The positioning is realized in the selected region with large correlation coefficients. The influence of the node distribution on the positioning accuracy is demonstrated theoretically,and the larger the distributed node correlation coefficient is,the better the node positioning effect is. A simulation experiment was carried out. The results verified that the algorithm can improve the posi-tioning accuracy.
引文
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[12]胡炜薇,胡冀,应智花.基于一个移动锚节点的无线传感器网络节点定位算法[J].系统仿真学报,2010,22(4):978-982.HU Weiwei,HU Ji,YING Zhihua.Localization in wireless sensor networks with mobile Beacon node[J].Journal of system simulation,2010,22(4):978-982.
[2]GRZECHCA D,PELCZAR P,CHRUSZCZYK L.Analysis of object location accuracy for iBeacon technology based on the RSSI path loss model and fingerprint map[J].International journal of electronics and telecommunications,2016,62(4):371-378.
[3]LIU Y J,JIN M L,CUI C Y.Modified weighed centroid localization algorithm based on RSSI for WSN[J].Chinese journal of sensors and actuators,2010,23(5):717-721.
[4]YIU S,DASHTI M,CLAUSSEN H,et al.Wireless RSSI fingerprinting localization[J].Signal processing,2017,131:235-244.
[5]XU J Q,LIU W,LANG F G,et al.Distance measurement model based on RSSI in WSN[J].Wireless sensor network,2010,2:606-611.
[6]于海存,石为人,冉启可,等.基于虚拟静态锚节点的加权质心定位算法[J].传感技术学报,2013,26(9):1276-1283.104YU Haicun,SHI Weiren,RAN Qike,et al.An improved weighted centroid location algorithm based on virtual static anchor nodes[J].Chinese journal of sensors and actuators,2013,26(9):1276-1283.
[7]史跃飞,冯秀芳,高昊.一种基于动态锚节点的改进加权定位算法[J].计算机应用与软件,2013,30(10):151-154.SHI Yuefei,FENG Xiufang,GAO Hao.An improved weighted localization algorithm based on dynamic anchors[J].Computer applications and software,2013,30(10):151-154.
[8]朱敏,高弘博,肖震,等.WSN中一种基于虚拟锚节点的VA-RSSI定位算法[J].四川大学学报(工程科学版),2013,45(6):110-115.ZHU Min,GAO Hongbo,XIAO Zhen,et al.A VA-RSSI localization algorithm based on virtual anchor nodes in WSN[J].Journal of Sichuan University(Engineering science edition),2013,45(6):110-115.
[9]孔令美.基于混合多锚节点的WSN传感器定位方案[J].现代电子技术,2017,40(2):107-110.KONG Lingmei.WSN sensor positioning scheme based on hybrid multi-anchor nodes[J].Modern electronics technique,2017,40(2):107-110.
[10]武闯,陈卫松,崔婷玉,等.基于改进粒子群的RSSI定位参数优化算法[J].无线电通信技术,2016,42(4):5-8.WU Chuang,CHEN Weisong,CUI Tingyu,et al.Received signal strength indicator location parameter optimization based on improved particle swarm[J].Radio communications technology,2016,42(4):5-8.
[11]宋慧敏,杨社堂,赵栋栋.基于人工神经网络的无线传感器定位算法[J].计算机测量与控制,2014,22(2):473-475.SONG Huimin,YANG Shetang,ZHAO Dongdong.ANNbased localization algorithm for wireless sensor network[J].Computer measurement&control,2014,22(2):473-475.
[12]胡炜薇,胡冀,应智花.基于一个移动锚节点的无线传感器网络节点定位算法[J].系统仿真学报,2010,22(4):978-982.HU Weiwei,HU Ji,YING Zhihua.Localization in wireless sensor networks with mobile Beacon node[J].Journal of system simulation,2010,22(4):978-982.