无线传感器节点均匀性估计算法及其应用

Measurement of Uniformity for Wireless Sensor Nodes and Its Application

  • 摘要: 无线传感器网络中锚节点的分布情况是一个重要指标,在很大程度上影响未知节点定位的精度,但目前对均匀性的分析却很少. 通过比较邻居节点的接收信号强度(RSS)确定未知节点移动后远离和靠近的锚节点个数,以此研究未知节点周围锚节点的分布情况. 提出了一种对锚节点均匀性进行定量估计的算法,给出了均匀性评价指标——归一化均匀性偏差的概念及公式. 将该算法应用到节点定位过程中,提出混合定位算法. 仿真结果表明,基于均匀性估计的混合定位算法能提高原有算法的定位精度.

     

    Abstract: The uniformity of anchor nodes distribution in a wireless sensor network has a very important impact on the positioning accuracy, but the related research is limited. In this paper, a method for measurement of uniformity is presented, a new criterion of normalized uniformity discrepancy is given, and then a hybrid algorithm for node localization is proposed. Experimental results show that the method for measurement of uniformity is effective and the hybrid algorithm improves the positioning accuracy.

     

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