Abstract
Wireless localization systems based on IEEE 802.11 are becoming more and more common in recent years, due in part to low costs in hardware and effortlessness of deployment with off the shelve Access Points (AP), such localization systems are based on Received Signal Strength (RSS) using a periodic beacon containing information about the source where a signal strength value can be obtained upon reception of this beacon; shadow attenuation effect and multipath fading influences RSS when indoors becoming a random variable dependent on the location of the antennas with a distinguishing statistical distribution called Rayleigh distribution; this article takes upon the measurement process of the distance from AP to a device, where soon after this a position could be resolved by triangulation or trilateration on the device by means of more AP’s. This paper proposes a method that uses fuzzy logic for modeling and dealing with noisy and uncertain measurements.
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Álvarez Salgado, C.F., Palafox Maestre, L.E., Aguilar Noriega, L., Castro, J.R. (2013). Distance Aproximator Using IEEE 802.11 Received Signal Strength and Fuzzy Logic. In: Batyrshin, I., Mendoza, M.G. (eds) Advances in Computational Intelligence. MICAI 2012. Lecture Notes in Computer Science(), vol 7630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37798-3_36
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DOI: https://doi.org/10.1007/978-3-642-37798-3_36
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