2015 IEEE Global Communications Conference (GLOBECOM) 2015
DOI: 10.1109/glocom.2015.7417219
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Primary User Aware k-Hop Routing for Cognitive Radio Networks

Abstract: We propose a primary user-aware k-hop routing scheme that can be plugged into any cognitive radio network routing protocol to adapt, in real time, to the environmental changes. The main use of this scheme is to make the compromise required between the route overhead and its optimality based on a user-defined utility function. We analytically derive the optimal discovery radius (k) that achieves this target. Evaluations on NS2 show that our scheme can enhance the current routing protocols in terms of throughput… Show more

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Cited by 4 publications
(1 citation statement)
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“…With the dramatic proliferation of communication systems, the deployment of wireless sensor networks (WSNs) find applications in many areas such as health monitoring, intruder tracking, fire monitoring, structural health monitoring, earthquake detection, and in particular the cognitive radio (CR) [1][2][3][4][5][6][7]. Different CR uses and problems have been studied in [8][9][10][11][12][13][14][15]. These aspects can be listed in analysing the performance gains from the effective capacity view with respect to statistical quality-of-service constraints to support real-time applications at the secondary users (SUs), exploiting the primary feedback information by the SU, using number of hops to establish a primary user (PU)-aware routing scheme that depends on that number, studying the queues stability and delay in cooperative multiple access for CR, utilising the compressive sensing to exploit the sparse nature of the occupation of the PUs, and the problem of SU having limited relaying room for the overheard primary packets, the problem of optimising the performance of CR users with opportunistic real-time applications.…”
Section: Introductionmentioning
confidence: 99%
“…With the dramatic proliferation of communication systems, the deployment of wireless sensor networks (WSNs) find applications in many areas such as health monitoring, intruder tracking, fire monitoring, structural health monitoring, earthquake detection, and in particular the cognitive radio (CR) [1][2][3][4][5][6][7]. Different CR uses and problems have been studied in [8][9][10][11][12][13][14][15]. These aspects can be listed in analysing the performance gains from the effective capacity view with respect to statistical quality-of-service constraints to support real-time applications at the secondary users (SUs), exploiting the primary feedback information by the SU, using number of hops to establish a primary user (PU)-aware routing scheme that depends on that number, studying the queues stability and delay in cooperative multiple access for CR, utilising the compressive sensing to exploit the sparse nature of the occupation of the PUs, and the problem of SU having limited relaying room for the overheard primary packets, the problem of optimising the performance of CR users with opportunistic real-time applications.…”
Section: Introductionmentioning
confidence: 99%