A dynamic Ant Colony Optimization for load balancing in MRN/MLN

Author

Lu, Le ; Huang, Shanguo ; Gu, Wanyi

Author_Institution

State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2011

fDate

13-16 Nov. 2011

Firstpage

1

Lastpage

6

Abstract

Ant Colony Optimization (ACO) is a popular research field these years. Ants choose paths where pheromone concentration is higher and modify the environment they visited. However, in the context of multi-service in multi-level and multi-domain optical network, the capacity of inter-domain links is limited. Congestion may be occurred at inter-domain links. In this paper, ant colony optimization algorithm based on load balancing is proposed. Ants follow paths not just depend on pheromone alone, we also take available resources on the link as a factor too. Simulations show the proposed method could reduce the traffic blocking probability, and realize load balancing within the network.

Keywords

ant colony optimisation; optical communication; resource allocation; telecommunication congestion control; telecommunication network topology; telecommunication traffic; MLN; MRN; dynamic ant colony optimization; interdomain links; load balancing; multidomain optical network; multilevel optical network; pheromone concentration; traffic blocking probability; Abstracts; ant colony optimization; blocking probability; load balancing; simulation; variance;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Photonics Conference and Exhibition, 2011. ACP. Asia

Conference_Location

Shanghai

ISSN

2162-108X

Print_ISBN

978-0-8194-8961-6

Type

conf

DOI

10.1117/12.904391

Filename

6210857