27 April 2018 Mobile crowd-sensing for access point localization
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Abstract
Nowadays, sensors built-in smartphones enable the collection of a large-scale of data in such a way that several applications can take place in a crowd-sensing paradigm. An interesting application is the device localization, which takes advantage of pervasive Wi-Fi networks in indoor and outdoor environments. We propose a crowd- sensing approach to localize access points in a building based on the collection of received signal strength, step detection and heading changes measurements of free-moving pedestrian users handling smartphones. The localization method boils down to computing likely positions of access points and iteratively estimating and validating related propagation models.
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Alex Pereira da Silva, Alex Pereira da Silva, Sylvain Leirens, Sylvain Leirens, "Mobile crowd-sensing for access point localization", Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 1064615 (27 April 2018); doi: 10.1117/12.2304597; https://doi.org/10.1117/12.2304597
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