Completely independent spanning trees for enhancing the robustness in ad-hoc Networks
Moinet, Axel; Darties, Benoit; Gastineau, Nicolas; Baril, Jean-Luc; Togni, Olivier (2017), Completely independent spanning trees for enhancing the robustness in ad-hoc Networks, 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), IEEE - Institute of Electrical and Electronics Engineers : Piscataway, NJ. 10.1109/WiMOB.2017.8115791
Type
Communication / ConférenceLien vers un document non conservé dans cette base
https://hal.archives-ouvertes.fr/hal-01715916Date
2017Titre du colloque
2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)Date du colloque
2017Ville du colloque
Piscataway, NJPays du colloque
ITALYTitre de l'ouvrage
2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)Éditeur
IEEE - Institute of Electrical and Electronics Engineers
Ville d’édition
Piscataway, NJ
Isbn
978-1-5386-3839-2
Identifiant publication
Métadonnées
Afficher la notice complèteRésumé (EN)
We investigate the problem of computing Completely Independent Spanning Trees (CIST) under a practical approach. We aim to show that despite CISTs are very challenging to exhibit in some networks, they present a real interest in ad-hoc networks and can be computed to enhance the network robustness. We propose an original ILP formulation for CISTs and we show through simulation results on representative network models that several CISTs can be computed when the network density is sufficiently high. These results tend to reinforce the interest of CISTs for various network operations such as robustness, load-balancing, traffic splitting,. .. As an important point, our results show that both the density and the number of nodes have an impact on the number of CISTs that can be found on ad-hoc networks.Mots-clés
Completely Independent Spanning Tree; CIST; Integer Linear Programming; Quasi-Unit Disk GraphPublications associées
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