Design a novel routing criterion based on channel features and internal backup routes for cognitive radio network

Ahmad Yousofi (), Masoud Sabaei () and Mehdi Hosseinzadeh ()
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Ahmad Yousofi: Islamic Azad University
Masoud Sabaei: Amirkabir University of Technology
Mehdi Hosseinzadeh: University of Human Development

Telecommunication Systems: Modelling, Analysis, Design and Management, 2019, vol. 71, issue 3, No 3, 339-351

Abstract: Abstract In the routing process, the cost (or weight) of routes determine via a function named routing criterion. Therefore, the design of Optimal Routing Criterion (ORC) is one of the most crucial issues in routing. The existence of unstable channels in Cognitive Radio Network (CRN) has caused the design of ORC in CRN converts to a challenging topic. In this paper, at first, the CRN is modeled as a multigraph where each vertex shows one secondary user (SU) and each edge a channel between two neighboring SUs. In this multigraph, each edge has two weights; the first weight is determined based on the behavior of PU senders and protection of PU receivers, and second weight based on the channel bandwidth. At the next step, an ORC for CRN, referred to as ETED_BEST, is proposed. ETED_BEST is designed based on the obtained model, routes provided by the intermediate nodes belonging to the route and probability theory that calculates the delay between two SUs in CRN precisely. Performance evaluation is conducted through simulations, the results show that end-to-end performance improved significantly.

Keywords: Cognitive radio network; Routing criterion; Channels diversity; Internal backup routes (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11235-018-0500-y

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