DocumentCode :
713776
Title :
Opportunistic routing based scheme with multi-layer relay sets in cognitive radio networks
Author :
Ying Dai ; Jie Wu
Author_Institution :
Dept. of Comput. & Inf. Sci., Temple Univ., Philadelphia, PA, USA
fYear :
2015
fDate :
9-12 March 2015
Firstpage :
1159
Lastpage :
1164
Abstract :
Opportunistic routing schemes have their advantages if applied in cognitive radio networks (CRNs), since the reliability is better ensured. However, it is impractical and inefficient to directly use opportunistic routing protocols in CRNs. In this paper, we propose a framework of applying opportunistic routing in CRNs. Our framework builds the multi-layer relay sets for each sender, instead of one general relay set, as seen in other wireless networks. A relay set on one layer refers to the set of nodes that are able to help relay on one channel. Moreover, to select a data transmission channel, each sender considers the channel quality as well as the potential reliability brought by the corresponding relay set. In order to better adjust to the situations when PUs suddenly become active during data transmission, we have each sender maintain one main relay set and one backup relay set. It effectively reduces the channel switching and relay set reselection cost during data transmission. We also give an effective adaptation scheme for each sender when all the relay sets fail. Finally, the simulation results indicate the superior performance of our scheme.
Keywords :
cognitive radio; relay networks (telecommunication); routing protocols; telecommunication network reliability; channel quality; channel switching; cognitive radio networks; data transmission channel; multi-layer sets; opportunistic routing; reliability; routing protocols; wireless networks; Data communication; Delays; Relays; Reliability; Routing; Routing protocols; Cognitive radio networks; evaluation; opportunistic routing; relay set selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2015 IEEE
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/WCNC.2015.7127633
Filename :
7127633
Link To Document :
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