The Optimization of Compressed Sensing Algorithm for Multi-target Localization via RSS in WSN

The Optimization of Compressed Sensing Algorithm for Multi-target Localization via RSS in WSN
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发表时间：
2012
期刊：
Journal of Nanjing University of Posts and Telecommunications
影响因子：
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通讯作者：
Yuan Zhi-jun
Yuan Zhi-jun
中科院分区：
其他
文献类型：
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作者：
Yuan Zhi-jun

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目标定位是无线传感器网络（WSNs）中最具挑战性和重要性的问题之一。采用最佳驻留匹配方法对压缩感知算法进行优化，提高了定位精度。提出了基于压缩感知停止规则的多目标定位系统框架。优化算法的有效性在于通过最小化节点间距离来节省节点能量。仿真结果表明，该算法具有较好的鲁棒性和鲁棒性。仿真结果表明，该算法提高了无线传感器网络的定位性能。
Target localization is one of the most challenging and important issues in wireless sensor networks(WSNs).The best residence match method is used to optimize compressed sensing algorithm and increase the precision of localization as result.The system framework of multi-target localization via compressed sensing stopping rule is proposed.The effectiveness of the optimization algorithm is to save the energy of WSN nodes by minimizing inter-node communication.As the result,the lifetime of the WSN is prolonged.Emulation results show that the localization performance is improved by the proposed algorithm.