DocumentCode :
3210485
Title :
Link quality aware geographical routing in hybrid cognitive radio mesh networks
Author :
Qian Li
Author_Institution :
EDM - Hasselt Univ. - tUL - iMinds, Diepenbeek, Belgium
fYear :
2013
fDate :
7-10 Oct. 2013
Firstpage :
1
Lastpage :
3
Abstract :
Cognitive radios are recommended by FCC as a countermeasure against spectrum scarcity and inefficient utilization of spectrum. A cognitive radio can opportunistically use temporally or spatially unused wireless channels allocated to other licensees to transmit data. In a multi-hop cognitive radio network, channel assignment is accomplished by routing protocols. Classical routing protocols are not suitable for cognitive radio networks, because they are unaware of spectrum opportunities. Existing spectrum aware routing protocols were designed with different objectives. Based on our survey, there still lacks a competent routing protocol for large scale heterogeneous hybrid cognitive radio mesh networks, which are the most fitting network substrate for intelligent environment applications, such as smart cities. In this paper, we propose GCM - a Geographic routing protocol for large scale heterogeneous hybrid Cognitive radio Mesh networks. GCM is a multi-objective routing protocol that is aware of spectrum, energy, load, and link quality.
Keywords :
channel allocation; cognitive radio; radio links; radio spectrum management; routing protocols; wireless channels; wireless mesh networks; FCC; GCM; channel assignment; hybrid cognitive radio mesh network; intelligent environment application; link quality aware geographical routing protocol; multihop cognitive radio network; smart cities; spectrum aware routing protocol; spectrum scarcity; wireless channel allocation; Cognitive radio; Measurement; Network topology; Routing; Routing protocols; Topology; Cognitive Radio Networks; Geographic Routing; Mesh Networks; Routing Protocols;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Protocols (ICNP), 2013 21st IEEE International Conference on
Conference_Location :
Goettingen
Type :
conf
DOI :
10.1109/ICNP.2013.6733650
Filename :
6733650
Link To Document :
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