Research of RSSI algorithm based on rank of matrix and chaos particle swarm optimization algorithm

Abstract

Abstract: For solving the redundancy of RSSI algorithm and prolong the life cycle of wireless sensor networks, presenting a rank of a matrix and chaos particle swarm optimization algorithm for RSSI algorithm. Due to the limitations of node memory and energy in wireless sensor network, this paper introduces particle swarm optimization algorithm and the concept of matrix rank to solve the problems, and to get the best nodal coordinates through iterative method. The simulation results show that RSSI based on rank of a matrix and chaos particle swarm optimization algorithm not only have good localization accuracy in performance, but also save memory and energy of nodes.

Key words: 3D localization, Wireless Sensor Network（WSN）, chaos, Particle Swarm Optimization algorithm（PSO）, rank of a matrix

摘要： 为了解决RSSI算法中矩阵的冗余度并且延长整个无线传感器网络的生命周期，在RSSI算法的基础上提出了一种基于矩阵秩的混沌粒子群的RSSI算法。由于无线传感器网络中的节点的内存和能源的有限性，故引入了混沌粒子寻优的算法和矩阵秩的概念来解决这方面缺陷，并通过迭代得到最佳节点坐标。仿真结果表明，基于矩阵秩的混沌粒子群的RSSI算法不仅具有良好的定位精度，并且节约了节点内存和能源。

关键词: 三维定位, 无线传感器网络, 混沌, 粒子群算法, 矩阵秩

FANG Wangsheng, LIU Xiaoxin. Research of RSSI algorithm based on rank of matrix and chaos particle swarm optimization algorithm[J]. Computer Engineering and Applications, 2016, 52(4): 74-78.

方旺盛，刘晓鑫. 混沌粒子群算法在矩阵秩RSSI算法中的研究[J]. 计算机工程与应用, 2016, 52(4): 74-78.

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Research of RSSI algorithm based on rank of matrix and chaos particle swarm optimization algorithm

混沌粒子群算法在矩阵秩RSSI算法中的研究

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