Decentralized localization using fingerprinting and kernel methods inwireless 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.
Document type :
Conference papers
Complete list of metadatas

https://hal-utt.archives-ouvertes.fr/hal-02307487
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Monday, October 7, 2019 - 4:18:15 PM
Last modification on : Wednesday, October 9, 2019 - 1:37:46 AM

Identifiers

  • HAL Id : hal-02307487, version 1

Collections

CNRS | ROSAS | UTT

Citation

Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeiné, Joumana Farah, Hichem Snoussi. Decentralized localization using fingerprinting and kernel methods inwireless sensor networks. 21st European Signal Processing Conference (EUSIPCO 2013), Sep 2013, Marrakech, Morocco. ⟨hal-02307487⟩

Share

Metrics

Record views

6