Department of Information and Communications Engineering, University of Murcia, 30100 Espinardo, Murcia, Spain.
Sensors (Basel). 2011;11(11):10820-39. doi: 10.3390/s111110820. Epub 2011 Nov 17.
This work presents the development and experimental evaluation of a method based on fuzzy logic to locate mobile robots in an Intelligent Space using wireless sensor networks (WSNs). The problem consists of locating a mobile node using only inter-node range measurements, which are estimated by radio frequency signal strength attenuation. The sensor model of these measurements is very noisy and unreliable. The proposed method makes use of fuzzy logic for modeling and dealing with such uncertain information. Besides, the proposed approach is compared with a probabilistic technique showing that the fuzzy approach is able to handle highly uncertain situations that are difficult to manage by well-known localization methods.
本工作提出了一种基于模糊逻辑的方法，用于使用无线传感器网络 (WSN) 在智能空间中定位移动机器人，并对其进行了开发和实验评估。该问题包括仅使用节点间的范围测量值（通过射频信号强度衰减估计）来定位移动节点。这些测量值的传感器模型非常嘈杂且不可靠。所提出的方法利用模糊逻辑进行建模和处理此类不确定信息。此外，还将所提出的方法与概率技术进行了比较，结果表明模糊方法能够处理高度不确定的情况，而这些情况很难用知名的定位方法来处理。
