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Secured And Robust Wi-Fi Shotgun Reads Based Mobility Mapping In Indoor User Tracking
The user mobility tracking plays an important role in identifying human activities and providing future user centered location based services (LBS’s). Estimating the geographical position of a mobile device such as smart phone in an indoor environment is not easy without the use of specific infrastructures. But in this paper, we present a secured and robust adaptive mobility map construction scheme for large scale which does not require any offline fingerprinting efforts.
Mobilitytracking, Wi-Fi, shotgun reads, spectral clustering, K-means clustering
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