计算机科学 ›› 2019, Vol. 46 ›› Issue (8): 145-151.doi: 10.11896/j.issn.1002-137X.2019.08.024
王静, 仇晓鹤
WANG Jing, QIU Xiao-he
摘要: 针对经典的多维标度(MDS-MAP)定位算法在大规模无线传感器网络中存在的定位功耗大和精度低的问题,改进后的MDS-MAP算法将节点作为簇头时的剩余能量、能耗均衡性与局部密度的综合指标进行评估后再进行分簇,形成的簇具有良好的连接性与较低的能量损耗。针对部分不满足拼合规则的节点,提出了一种利用度量策略来获得节点间未知的欧氏距离的方法,并用角度判别法消除干扰解。在对公共节点进行补偿后,使用改进的规则进行簇间合并。仿真比较结果表明,提出的基于分簇与融合补偿策略的多维标度定位算法具有较低的拼合要求、高定位精度以及强鲁棒性,有利于拓展网络和降低定位功耗。
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