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无线传感器网络中一种模糊加权目标定位方法

A fuzzy weights targets location method in WSNs
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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RSSI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 RSSI of each detecting node. It＇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.
作者 蔡世清 周杰
机构地区 南京信息工程大学电子与信息工程学院
出处 《传感器与微系统》 CSCD 2016年第2期42-45,共4页 Transducer and Microsystem Technologies
基金 国家自然科学基金面上项目(60873026 61021062 61372128) 江苏省高校自然科学研究重大项目(14KJA510001)
关键词 无线传感器网络 接收信号强度指示 目标定位 模糊权值 wireless sensor networks（WSNs） RSSI target location fuzzy weights
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献10

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共引文献19

传感器与微系统
2016年 第2期

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