This paper presents a method based on multidimensional scaling in wireless sensor network positioning algorithm, combined with RSS experience attenuation model and the shortest path to establish dissimilarity matrix, using lightweight matrix factorization algorithm reduces computational complexity dissimilarity matrix decomposition, and the use of the network in the presence of periodic messages will be the initial positioning information return, in the background using an iterative optimization the algorithm to the initial positioning results refinement. Simulation results show that, in some cases ranging error, this algorithm can improve the calculation accuracy of three-dimensional coordinates of the initial node, through the centralized optimization refinement after compared with MDS-MAP algorithm, which can obviously improve the precision of 3D Node Localization

基于多维定标的无线传感器网络三维定位算法.caj

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