Application and Simulation of Intelligent Ant Algorithm in Routing Choice

Author

Wang, Yong ; Qin, Guihe ; Dong, Ying ; Huang, Nannan

Author_Institution

Dept. of Comput. Sci. & Technol., Jilin Univ., Changchun

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1461

Lastpage

1464

Abstract

According to self-organized ability of ants, this paper described a new distributed dynamic routing method: distributed QoS-guaranteed routing algorithm (DQRA).This method aimed at the existent quantity of service in the current communication network. DQRA can resolve the problem of the delay and the bandwidth allocation parallel in the networks. It is already theoretically proved that the algorithm is simple and easy to realize. It can resolve the problem of the payload balance effectively in the large communication networks. At present, the ant algorithm has been applied to solve the problem on TSP and a series of discrete optimization successfully. It will be applied in the much wider field. The DQRA algorithm is simulated by MATLAB in order to prove its validity in this paper

Keywords

genetic algorithms; mathematics computing; quality of service; resource allocation; telecommunication network routing; travelling salesman problems; DQRA algorithm; bandwidth allocation; discrete optimization; distributed QoS-guaranteed routing algorithm; distributed dynamic routing method; intelligent ant algorithm; large communication networks; payload balance; quantity of service; self-organized ability; Automation; Channel allocation; Communication networks; Intelligent control; Intelligent networks; MATLAB; Payloads; Routing; QoS; payload balance; routing choice; the Ant algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712591

Filename

1712591