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Node Localization in WSN Based on Weighted Vectors Centroid Algorithm

机译:基于加权矢量质心算法的无线传感器网络节点定位

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Centroid algorithm, as relatively simple, depends upon the connectivity of WSN and nodes density, in which the error of node orientation is high, the calculation for the minimum error is too lager and the time which it takes too long. In this paper, a new node localization algorithm uses intelligent particle swarm optimization (PSO) to fast convergence speed based on the proposed weighted vector centroid algorithm. The simulation results show that the localization error of centroid algorithm is decreased rapidly and our proposed algorithm is efficient for WSN.
机译:质心算法相对简单,取决于WSN和节点密度的连通性,其中节点方向的误差较大,最小误差的计算量太大,所需的时间也太长。本文基于加权矢量质心算法,提出了一种新的基于智能粒子群算法(PSO)的节点定位算法,以提高收敛速度。仿真结果表明,质心算法的定位误差得到了快速降低,所提出的算法对于无线传感器网络是有效的。

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