Localization method for low-power wireless sensor networks

Context awareness is an important issue in ambient intelligence to anticipate the desire of the user and, in consequence, to adapt the system. In context awareness, localization is very important to enable a responsive environment for the users. Focusing on this issue, this paper presents a localization system based on the use of Wireless Sensor Networks devices. In contrast to a traditional RFID, these devices offer the possibility of a collaborative sensing and processing of environmental information. The proposed system is a range-free localization algorithm that uses fuzzy inference to process the RSSI measurement and to estimate the position of mobile devices. The main goal of the algorithm is to reduce the power consumption and the cost of the devices, especially for the mobiles ones, maintaining the accuracy of the inferred position.