【作者】 罗旭； 柴利； 杨君；

【Author】 LUO Xu,CHAI Li,YANG Jun Engineering Research Center of Metallurgical Automation and Measurement Technology,Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,P.R.China

【机构】 武汉科技大学冶金自动化与检测技术教育部工程研究中心；

【摘要】 作为一种多跳环境中的无线传感器网络定位方法,迭代多边定位算法在盲节点周围有多个参考节点时,定位误差较大,缺乏鲁棒性。为了解决上述问题,本文提出了TTSL估计方法,该方法先把参考节点三三分组,用三边法求出每组相应样本值,然后用这些样本值估计出盲节点的位置。仿真实验表明,该方法可以有效的降低定位误差。更多还原

【Abstract】 Iterative Multilateration is widely used in multi-hop wireless sensor networks,where few anchor nodes are deployed in a large area.To compensate for the lackness of robustness in iterative localization when there are sufficient numbers of reference nodes around some blind node,a new estimation algorithm called TTSL is proposed in this paper.Firstly,we obtain all samples using trilateration from every combination of three reference nodes.Then the location of the blind node is estimated.Simulation experiments show that the proposed TTSL algorithm can reduce the position error sufficiently.更多还原