HAL - INRIA :: [inria-00482910, version 1] Toward Reliable Contention-aware Data Dissemination in Multi-hop Cognitive Radio Ad Hoc Networks

inria-00482910, version 1

Toward Reliable Contention-aware Data Dissemination in Multi-hop Cognitive Radio Ad Hoc Networks

Mubashir Husain Rehmani () ¹, Aline Carneiro Viana () ², Hicham Khalife () ³, Serge Fdida () ¹

N° RR-7288 (2009)

Résumé : This paper introduces a new channel selection strategy for reliable contention-aware data dissemination in multi-hop cognitive radio network. The key challenge here is to select channels providing a good tradeoff between connectivity and contention. In other words, channels with good opportunities for communication due to (1) low primary radio nodes (PRs) activities, and (2) limited contention of cognitive ratio nodes (CRs) acceding that channel, have to be selected. Thus, by dynamically exploring residual resources on channels and by monitoring the number of CRs on a particular channel, SURF allows building a connected network with limited contention where reliable communication can take place. Through simulations, we study the performance of SURF when compared with three other related approaches. Simulation results confirm that our approach is effective in selecting the best channels for efficient and reliable multi-hop data dissemination.

1 : Laboratoire d'Informatique de Paris 6 (LIP6)
CNRS : UMR7606 – Université Paris VI - Pierre et Marie Curie
2 : ASAP (INRIA Saclay - Ile de France)
INRIA – CNRS : UMR – INSA - Institut National des Sciences Appliquées – Université de Rennes 1
3 : Laboratoire Bordelais de Recherche en Informatique (LaBRI)
CNRS : UMR5800 – Université Sciences et Technologies - Bordeaux I – École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB) – Université Victor Segalen - Bordeaux II

inria-00482910, version 1
http://hal.inria.fr/inria-00482910
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Contributeur : Mubashir Husain Rehmani <>
Soumis le : Mardi 11 Mai 2010, 20:13:53
Dernière modification le : Jeudi 3 Juin 2010, 22:27:58

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%% inria-00482910, version 1
%% http://hal.inria.fr/inria-00482910
@techreport{rehmani:inria-00482910,
    hal_id = {inria-00482910},
    url = {http://hal.inria.fr/inria-00482910},
    title = {{Toward Reliable Contention-aware Data Dissemination in Multi-hop Cognitive Radio Ad Hoc Networks}},
    author = {Rehmani, Mubashir Husain and Viana, Aline Carneiro and Khalife, Hicham and Fdida, Serge},
    abstract = {{This paper introduces a new channel selection strategy for reliable contention-aware data dissemination in multi-hop cognitive radio network. The key challenge here is to select channels providing a good tradeoff between connectivity and contention. In other words, channels with good opportunities for communication due to (1) low primary radio nodes (PRs) activities, and (2) limited contention of cognitive ratio nodes (CRs) acceding that channel, have to be selected. Thus, by dynamically exploring residual resources on channels and by monitoring the number of CRs on a particular channel, SURF allows building a connected network with limited contention where reliable communication can take place. Through simulations, we study the performance of SURF when compared with three other related approaches. Simulation results confirm that our approach is effective in selecting the best channels for efficient and reliable multi-hop data dissemination.}},
    keywords = {multi-hop cognitive radio networks; opportunistic forwarding; dynamic channel selection; data dissemination},
    language = {Anglais},
    affiliation = {Laboratoire d'Informatique de Paris 6 - LIP6 , ASAP - INRIA Saclay - Ile de France , Laboratoire Bordelais de Recherche en Informatique - LaBRI},
    type = {Rapport de recherche},
    institution = {INRIA},
    number = {RR-7288},
    note = {This report was first published as: INRIA RR-0375, 2009, France. http://hal.inria.fr/inria-00441892/en/. Now, the report number is changed i.e. RR-7288 and can be accessible at: http://hal.archives-ouvertes.fr/inria-00482910/en/.},
    year = {2009},
    month = Dec,
    pdf = {http://hal.inria.fr/inria-00482910/PDF/RR-7288.pdf},
}

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