The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks
Résumé
This paper investigates the usage of the belief functions theory to localize sensors in indoor environments. The problem is tackled as a zoning localization where the objective is to determine the zone where the mobile sensor resides at any instant. The proposed approach uses the belief functions theory to define an evidence framework, for estimating the most probable sensor's zone. Real experiments demonstrate the effectiveness of this approach as compared to other localization methods.
| Origine | Fichiers produits par l'(les) auteur(s) |
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