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Decentralized Localization Using Fingerprinting and Kernel Methods in Wireless Sensor Networks

Abstract : Sensors localization has become an essential issue in wireless sensor networks. This paper presents a decentralized localization algorithm that makes use of radio-location fingerprinting and kernel methods. The proposed algorithm consists of dividing the network into several zones, each of which having a calculator capable of emitting, receiving and processing data. By using radio-information of its zone, each calculator constructs, by means of kernel methods, a model estimating the nodes positions. Calculators estimates are then combined together, leading to final position estimates. Compared to centralized methods, this technique is more robust, less energy-consuming, with a lower processing complexity.
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https://hal.archives-ouvertes.fr/hal-01966008
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Submitted on : Thursday, December 27, 2018 - 11:50:31 AM
Last modification on : Sunday, June 26, 2022 - 4:36:25 AM
Long-term archiving on: : Thursday, March 28, 2019 - 1:11:03 PM

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Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi. Decentralized Localization Using Fingerprinting and Kernel Methods in Wireless Sensor Networks. Proc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5. ⟨hal-01966008⟩

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