Secured And Robust Wi-Fi Shotgun Reads Based Mobility Mapping In Indoor User Tracking
- 1Anna University Chennai, M.E Applied Electronics, Lord Jegannath College of Engg. & Tech, Ramanathichanputhur, Nagercoil, India , IN
- 2Anna University Chennai, Assistant Professor Lord Jegannath College of Engg. & Tech, Ramanathichanputhur, Nagercoil, India, IN
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.
Conclusion
We described an approach to use ubiquitously and randomly recorded Wi-Fi RSS data to construct an adaptive mobility map for mobility tracking. With the use of unlabelled Wi-Fi shotgun reads, our approach can avoid the cumbersome work of collecting labeled data for fingerprinting. The mobility map created is a graph consisting of LP’s, which are formed automatically through the clustering process. The mobility map will provide guidance to people tracking during the online phase.
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Keywords: Mobilitytracking, Wi-Fi, shotgun reads, spectral clustering, K-means clustering
Citation: Chitra Sudhakaran*, Franklin George Jobin, Chitra Sudhakaran, Franklin George Jobin ( 0), Secured And Robust Wi-Fi Shotgun Reads Based Mobility Mapping In Indoor User Tracking. , 1(4): 1-5
Received: 01/06/2024; Accepted: 01/06/2024;
Published: 01/06/2024
Edited by:
Mr.ERES JOURNALSReviewed by:
Copyright: @ERES Publications.
*Correspondence: Chitra Sudhakaran, chitrasudha1990@gmail.com
