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Performance Comparison of Positioning Techniques in Wi-Fi Networks

Abstract : The wide deployment of Wi-Fi networks empowers the implementation of numerous applications such as Wi-Fi positioning, Location Based Services (LBS), wireless intrusion detection and real-time tracking. Many techniques are used to estimate Wi-Fi client position. Some of them are based on the Time or Angle of Arrival (ToA or AoA), while others use signal power measurements and fingerprinting. All these techniques require the reception of multiple wireless signals to provide enough data for solving the localization problem. In this paper, we describe the major techniques used for positioning in Wi-Fi networks. Real experiments are done to compare the accuracy of methods that use signal power measurement and Received Signal Strength Indication (RSSI) fingerprinting to estimate client position. Moreover, we investigate a fingerprinting method constrained by distance information to improve positioning accuracy. Lo-calization techniques are more accurate when the estimated client positions are closer to the real geographical positions. Accuracy improvements increase user satisfaction, and make the localization services more robust and efficient.
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https://hal.inria.fr/hal-01310660
Contributor : Mohamad Yassin <>
Submitted on : Tuesday, May 3, 2016 - 4:24:11 PM
Last modification on : Tuesday, June 15, 2021 - 4:15:48 PM
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Mohamad Yassin, Elias Rachid, Rony Nasrallah. Performance Comparison of Positioning Techniques in Wi-Fi Networks. 10th Int. Conf. Innovations in Information Technologies, Nov 2014, Al Ain, United Arab Emirates. ⟨10.1109/INNOVATIONS.2014.6987565⟩. ⟨hal-01310660⟩

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