2013 IEEE Global Communications Conference (GLOBECOM) 2013
DOI: 10.1109/glocom.2013.6831187
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A cross-layer routing protocol (CLRP) for cognitive radio network

Abstract: Abstract-Routing in cognitive radio networks (CRNs) necessitates a cross-layering approach. However, according to [1], CRN routing protocols proposed in literature are partially cross-layer, because the information flow is only from physical layer to network layer, e.g., about channels availabilities. In this work, we introduce a cross-layer routing protocol (CLRP), which considers both the channels that are known to be available at each node, as well as other channels that may be available. The availabilities… Show more

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Cited by 13 publications
(12 citation statements)
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“…In this work [27], authors introduced a cross-layer based routing technique CLRP, which considers that each node is aware of the probability distribution of channel availabilities irrespective of channel sensing activity by the node. Such availabilities of channels are obtained through a stochastic approach.…”
Section: Other Layer Combinationsmentioning
confidence: 99%
“…In this work [27], authors introduced a cross-layer based routing technique CLRP, which considers that each node is aware of the probability distribution of channel availabilities irrespective of channel sensing activity by the node. Such availabilities of channels are obtained through a stochastic approach.…”
Section: Other Layer Combinationsmentioning
confidence: 99%
“…The authors in [6] proposed a cross‐layer routing protocol (CLRP) for the CRN, presenting the CLRP that considers all channels known to be available at each node. CLRP finds complete paths from source to destination and informs the physical layer at each node which channels need to be sensed.…”
Section: Related Workmentioning
confidence: 99%
“…TID is the longest time period for which a PU can tolerate interference after it starts transmitting. Therefore, after the CR starts transmitting on a channel, it must have a periodic cycle composed of monitoring and transmission times [6] as shown in Fig. 1.…”
Section: System Model and Assumptionsmentioning
confidence: 99%
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