基于模糊控制的无线传感器网络室内定位算法

提出了一种通过无线传感器网络组网,利用基于模糊算法的改进接收信号强度指示(RSSI)测距技术来进行室内定位的系统设计方案。通过模糊状态分类建立环境气候和障碍物的模糊分布参数,对“距离-损耗”模型进行改进,算出其隶属函数,从而得到较准确的测距公式,计算出移动节点的位置信息。实验结果表明：提出的定位算法在对移动节点定位的实时性和准确性上能满足实际需要,具有应用价值。

Indoor location algorithm of wireless sensor network based on fuzzy control

The authors proposed a system design scheme of indoor localization for Wireless Sensor Network (WSN), which used improved Received Signal Strength Indicator (RSSI) ranging technology based on fuzzy algorithm. The new method established the fuzzy distribution parameters of climate and environmental obstacles by fuzzy state classification, so as to improve the traditional "distance-loss" model. Hence, through calculating their membership function, a more accurate distance formula to calculate the location information of mobile nodes could be obtained. The experimental results show that the positioning algorithm proposed by the system for mobile nodes localization meets the actual needs in real-time and accuracy, and has application value.