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针对无线传感器网络节点自身定位问题,提出了一种基于扩散策略的分布式多维尺度定位算法,给出了扩散策略和局部网络信息融合的方法.与传统多维尺度定位算法相比,该算法无须将所有信息集中到中心节点进行定位计算,而是在局部网络内进行定位迭代解算及信息交换再进行坐标信息融合.该算法在迭代过程中将未知节点视为锚节点,将原算法中被忽略的参数量引入优化目标方程,采用一组凸组合权值系数对交换后信息进行加权融合以得到节点自身坐标.仿真结果表明:改进算法与原算法相比在测量噪声较大时平均与最大定位误差均下降约10%,特别是当网络连通度较低时改进算法定位精度更高.
In order to solve the localization problem of wireless sensor network node itself, a distributed multi-dimensional scaling algorithm based on diffusion strategy is proposed, and the diffusion strategy and local network information fusion method are given. Compared with the traditional multi-scale scale location algorithm, All the information is concentrated to the central node for location calculation, but in the local network positioning iterative solution and information exchange and coordinate information fusion.The algorithm in the iterative process will be unknown node as an anchor node, the original algorithm is ignored , A set of convex combination weight coefficients is used to weight the exchanged information to get the coordinates of the node itself.The simulation results show that the proposed algorithm is better than the original algorithm in the case of large measurement noise The error drops about 10%, especially when the network connectivity is lower, the improved algorithm has higher positioning accuracy.