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Topology control for wireless mesh networks based on centrality metrics

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, a new mechanism for topology control in wireless mesh networks is proposed. We evaluate the application to this problem of the centrality metrics developed by social network analysts. Our target network is a wireless mesh network created by user hand-held devices. For this kind of networks, we aim to construct a connected dominating set that includes the most central nodes. Many advantages result from selecting just a subset of stations for routing tasks: reduction of collisions, protocol overhead, interference and energy consumption, better network organization and scalability. The resulting performance using the three most common centrality measures (degree, closeness and betweenness) is evaluated. As we are working with dynamic and decentralized networks, a distributed implementation is also proposed and evaluated.

Original languageEnglish
Title of host publicationPE-WASUN 2013 - Proceedings of the 10th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, Co-located with ACM MSWiM 2013
Pages25-32
Number of pages8
DOIs
StatePublished - 2013
Externally publishedYes
Event10th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, PE-WASUN 2013 - Co-located with ACM MSWiM 2013 - Barcelona, Spain
Duration: 3 Nov 20138 Nov 2013

Publication series

NamePE-WASUN 2013 - Proceedings of the 10th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, Co-located with ACM MSWiM 2013

Conference

Conference10th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, PE-WASUN 2013 - Co-located with ACM MSWiM 2013
Country/TerritorySpain
CityBarcelona
Period3/11/138/11/13

Keywords

  • centrality metrics
  • connected dominating set
  • social network analysis
  • topology control
  • wireless mesh networks

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