无线传感器网络中一种模糊加权目标定位方法

摘要

提出了一种无线传感器网络( WSNs)中的模糊加权定位算法,利用探测节点RSSl值的估计距离为平面离散栅格分配权值,通过比较累计权值搜索出目标坐标,其模糊性使得该方法能够有效地抵抗各种强度的噪声,设定可调模糊度适应不同的衰落信道,在单目标定位中具有非常高的稳定性.针对多目标定位,提出变型的权值模型,设计了去模糊化算法将多个目标坐标提取出来.对实验仿真结果作出了评估,并提出了多目标定位的限制条件.%A fuzzy weights location algorithm in WSNs is proposed,target coordinate can be searched by comparing accumulated weights from RSSl of each detecting node. lt's an innovation method which can live a high-accuracy in low SNR because of its fuzziness and can adapt to different signal attenuating speed attribute to its flexible fuzzy degree. The proposed method performs a high stability in mono-target location application. There is also a deeper analysis in application to multi-target location,a transformed model is developed in allusion to multi-target location. Multiple targets coordinate is extracted successfully through defuzzification algorithm. Experimental result is evaluated,and restriction condition to multi-target location is proposed.