Abstract
In this paper, we present the implementation of a new indoor localization system. We studied the behavior of the Received Signal Strength Indication (RSSI) for different configurations depending on the initial energy level of the sensors used. The choice of the best XBee configuration for each sensor is obtained after studying the standard deviation of the RSSI. Thus, we performed an indoor localization application using three algorithms based on the RSSI fingerprinting. Several experiments were conducted on an established test bed made of a certain number of XBee wireless sensors. The obtained results are considered very encouraging as they are suitable to locate a person, inside a building with a precision of 80 cm and an efficiency of 90 %.
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