Decentralized Localization Using Fingerprinting and Kernel Methods in Wireless Sensor Networks

Sandy Mahfouz (1) , Farah Mourad-Chehade (1) , Paul Honeine (1) , Joumana Farah (2) , Hichem Snoussi (1)

1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
2 Holy-Spirit University of Kaslik [Jounieh]

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.

Mots clés: localization; machine learning; fingerprinting; decentralized processing; Robustness; sensor placement; decentralized localization; kernel methods; sensors localization; radio-location fingerprinting; Calculators; Wireless sensor networks; Sensors; Mathematical model; Kernel; Trajectory; radio direction-finding

Domaines: Apprentissage [cs.LG]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Vision par ordinateur et reconnaissance de formes [cs.CV]

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⟩