A Bio-Inspired Deployment Method for Data Collection Networks in Wide White Areas

Djibrilla Incha Adamou Alexandre Mouradian 1 Véronique Vèque 1
1 Division Télécoms et Réseaux - L2S
L2S - Laboratoire des signaux et systèmes : 1289
Abstract : Wide white areas are defined as large regions with very little to no infrastructure. For example, deserts and large forest areas fall in this category. Many strategic phenomena and activities take place in these areas (e.g. mining, environmental monitoring) which necessitate data collection and analysis. In this context, we propose a network deployment scheme which aims at efficiently linking sparse points of interest in a very wide white area. The goal of the method is to minimize the cost of the deployment while providing a fault tolerant network. The proposed method is based on an algorithm which mimics the evolution of a type of mold called physarum. Our deployment problem is close to a Minimum Steiner Tree (MST) problem known to be NP-hard, we thus compare our results to a heuristic of MST.
Type de document :
Communication dans un congrès
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Sep 2018, Bologna, Italy
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01895767
Contributeur : Mouradian Alexandre <>
Soumis le : lundi 15 octobre 2018 - 14:45:49
Dernière modification le : samedi 20 octobre 2018 - 01:10:43

Fichier

review_manuscript.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01895767, version 1

Citation

Djibrilla Incha Adamou, Alexandre Mouradian, Véronique Vèque. A Bio-Inspired Deployment Method for Data Collection Networks in Wide White Areas. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Sep 2018, Bologna, Italy. 〈hal-01895767〉

Partager

Métriques

Consultations de la notice

26

Téléchargements de fichiers

5