Author, as appears in the article.: Millan P; Molina C; Medina E; Vega D; Meseguer R; Braem B; Blondia C

Department: Enginyeria Informàtica i Matemàtiques

URV's Author/s: Millan Marco, Pedro

Keywords: Time series analysis Link quality tracking Link quality prediction Community networks

Abstract: © 2014 IEEE. Community networks have emerged under the mottos of break the strings that are limiting you, don't buy the network, be the network or a free net for everyone is possible. Such networks create a measurable social impact as they provide to the community the right and opportunity of communication. As any other network that mixes wired and wireless links, the routing protocol must face several challenges that arise from the unreliable nature of the wireless medium. Link quality tracking helps the routing layer to select links that maximize the delivery rate and minimize traffic congestion. Moreover, link quality prediction has proved to be a technique that surpasses link quality tracking by foreseeing which links are more likely to change its quality. In this work, we focus on link quality prediction by means of a time series analysis. We apply this prediction technique in the routing layer of large-scale, distributed and decentralized networks. We demonstrate that this type of prediction achieves about a success probability of about 98% in both the short and long term.

Thematic Areas: Software Hardware and architecture Computer networks and communications

ISSN: 21619654

Author's mail: pere.millan@urv.cat

Author identifier: 0000-0002-4132-7099

Record's date: 2023-03-05

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: International Conference On Wireless And Mobile Computing, Networking And Communications. 239-244

APA: Millan P; Molina C; Medina E; Vega D; Meseguer R; Braem B; Blondia C (2014). Tracking and predicting link quality in wireless community networks.

Article's DOI: 10.1109/WiMOB.2014.6962177

Entity: Universitat Rovira i Virgili

Journal publication year: 2014

Publication Type: Proceedings Paper