An Extended Ant Colony based Routing Algorithm for Cognitive Radio Networks

被引：0
|
作者：
Hu, Qingsong [1 ]
Zhang, Shen [1 ]
Zhou, Zhongqiang [2 ]
机构：
[1] China Univ Min & Technol, Sch Informat & Elect Engn, Xuzhou 221008, Jiangsu, Peoples R China
[2] Huazhong Univ Sci & Technol, Dept Informat Sci & Technol, Wuhan, Peoples R China
来源：
2012 WORLD AUTOMATION CONGRESS (WAC) | 2012年
关键词：
Ant colony; Cognitive radio networks; Routing metrics; Spectrum of opportunities;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：3
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