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Communication Dans Un Congrès Année : 2013

Kernel-based localization using fingerprinting in wireless sensor networks

Résumé

Indoor localization is an important issue in wireless sensor networks for a very large number of applications. Recently, localization techniques based on the received signal strength indicator (RSSI) have been widely used due to their simple and low cost implementation. In this paper, we propose an algorithm for localization in wireless sensor networks based on radio-location fingerprinting and kernel methods. The proposed method is compared to another well-known localization algorithm in the case of real data collected in an indoor environment where RSSI measures are affected by noise and other interferences.
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Dates et versions

hal-01966000 , version 1 (27-12-2018)

Identifiants

Citer

Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Hichem Snoussi, Joumana Farah. Kernel-based localization using fingerprinting in wireless sensor networks. Proc. 14th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013, Darmstadt, Germany. pp.744 - 748, ⟨10.1109/SPAWC.2013.6612149⟩. ⟨hal-01966000⟩
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