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Wireless Networks
Erschienen in: Wireless Networks 4/2015

01.05.2015

High-throughput transmission-quality-aware broadcast routing in cognitive radio networks

verfasst von: Ejaz Ahmed, Junaid Qadir, Adeel Baig

Erschienen in: Wireless Networks | Ausgabe 4/2015

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Abstract

Cognitive radio is an enabling technology of dynamic spectrum access (DSA) networking. In DSA, unlicensed secondary users can coexist with primary licensed users and can share the radio spectrum opportunistically. Broadcasting is an important networking primitive that is useful for many CRN applications such as control information dissemination, warning notification, etc. Unfortunately, the sporadic channels availability degrades the performance of broadcast routing. The quality of a broadcast transmission on a particular channel depends on the channel quality of all the receivers for the same transmitter. Current broadcast routing protocols lack transmission quality awareness. In this paper, we develop a transmission quality-aware broadcasting framework, comprising algorithm for transmission quality-aware broadcast routing in multi-radio dynamic-spectrum-access CRNs, and formulate a transmission quality metric wherein we consider a receiver-centric view rather than a transmission-centric view. We perform a detailed simulation performance evaluation of our proposed framework using OMNeT++. The proposed broadcast routing algorithm is validated by comparing results with state-of-the-art routing algorithms. Analysis of the results shows average performance gains of approximately 40 % in throughput and packet delivery ratio.
Vorheriger Artikel Cognitive cross-layer multipath probabilistic routing for cognitive networks
Nächster Artikel Distributed channel assignment for network MIMO: game-theoretic formulation and stochastic learning

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Metadaten
Titel
High-throughput transmission-quality-aware broadcast routing in cognitive radio networks
verfasst von
Ejaz Ahmed
Junaid Qadir
Adeel Baig
Publikationsdatum
01.05.2015
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 4/2015
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-014-0843-6

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