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.

引用

页数：3