DocumentCode
1574667
Title
An extended ant colony based routing algorithm for cognitive radio networks
Author
Hu, Qingsong ; Zhang, Shen ; Zhou, Zhongqiang
Author_Institution
School of Information and Electric Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, 221008, China
fYear
2012
Firstpage
301
Lastpage
303
Abstract
To adapt to the dynamic characteristics of cognitive radio networks, we designed a routing algorithm based on ant colony. The network was modeled as a directional graph. Instead of broadcasting, ants looked for next hop through maximal probability in this model. The proposed algorithm combined the end-to-end delay with available channel nearby the node, made traffic loads balanced in all usable paths. Compared to such algorithm as AODV, it has adaptability to circumstance, decreased the end-to-end delay.
Keywords
Ant colony; Cognitive radio networks; Routing metrics; Spectrum of opportunities;
fLanguage
English
Publisher
ieee
Conference_Titel
World Automation Congress (WAC), 2012
Conference_Location
Puerto Vallarta, Mexico
ISSN
2154-4824
Print_ISBN
978-1-4673-4497-5
Type
conf
Filename
6321078
Link To Document