Research of Multiple Constrained Qos Routing Based on Improved Ant Colony Algorithm

Yue Gong; Jia Nan Wang

doi:10.4028/www.scientific.net/AMM.513-517.994

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Research of Multiple Constrained Qos Routing Based...

Research of Multiple Constrained Qos Routing Based on Improved Ant Colony Algorithm

Abstract:

This paper mainly discusses the Multiple Constrained Qos Routing Algorithm, in the analysis of the basic on the basis of mathematical model of Qos routing. It has proposed a routing model with an objective function, integrated optimization of multiple Qos constraints. Finally, the optimization of ant colony algorithm applied to solve the problem of multiple constraints Qos. Through simulation experiments proved that the algorithm to find the path to maximum degree meets Qos requirements.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

994-998

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.994

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Online since:

February 2014

Authors:

Yue Gong*, Jia Nan Wang

Keywords:

Ant Colony Algorithm, Multiple Constrained, Objective Function, QoS Routing

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References

[1] Wang Z, Crowcroft J. Quality-o-f service routing for supportingmultime-dia applications. IEEE J. on SAC., 1996, 14(7): 1228-1234.

Google Scholar

[2] Mieghem P V, Kuipers F A. Concepts of exact QoS routing algo-rithms[J]. IEEE/ACM Trans on Networking, 2004, 12( 5) : 851- 864.

DOI: 10.1109/tnet.2004.836112

Google Scholar

[3] R J Sinavasankar, S Ramamz, et al. Some Studies on the Impact of Dynamic Traffic in a QoS- based Dynamic RoutingEnvironment[A]. ICC'2000[C]. New Orleans, USA: ICC, 2000, 959~936.

Google Scholar

[4] Duan Haibin, Ant Colony Algorithms: Theory and Applications. [M]. BeiJing: Science Press. (2005).

Google Scholar

[6] Li Shiyong, Ant Colony Algorithms and Applications[M], HaErBing: HARBIN INSTITUTE OF TECHNOLOGY PRESS, (2004).

Google Scholar

[7] Gui Zhibo, Ji Xinquan. AAlgorithm of Qos Unicast Routing Based on the Priciple of Ant System[J]. Signal Processing, 2003, 19(5): 432-436.

Google Scholar

[8] Ran Min, Gao Suixiang, Xu Bao. An Algorithm Based on the Principle of Ant System for Multiple Constrained Qos Routing[J]. Compter Engineering and Applications, 2005(7): 142-144.

Google Scholar

[9] Gong Yue, Zhan Xinghua, Wu Hang . Model of Data Mail QoS Based on Improved Ant Colony Algorithms[J]. Computer Science, 2012, 36(9): 300-302.

Google Scholar