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基于加权最小二乘变尺度法的无线传感器网络定位

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摘要 为了降低整个无线传感器网络的成本和减小测量误差对定位精度的影响,一般传统做法是把已定位的未知节点升级为信标节点,再对其他节点进行定位,但此情况会造成累积误差。为了减少累积误差,提出了一种加权的最小二乘变尺度定位算法,该算法首先利用加权最小二乘法对未知节点进行位置估计,然后把定位的未知节点升级为信标节点,再对剩下的未知节点进行位置估计,最后利用拟牛顿法对估计出来的位置进行优化。仿真结果表明,该算法能有效地减少测距误差和累积误差,降低网络成本,提高网络覆盖率和传感节点的定位精度,并且该算法不增加额外硬件设备,易于实现。
出处 《广东通信技术》 2013年第4期52-56,共5页 Guangdong Communication Technology
基金 国家自然科学基金项目(61171190)"基于物联网技术的呼吸 脉搏异变及跌落的实时监测与报警的关键技术研究"
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参考文献7

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