A dynamic ant colony optimization for load balancing in MRN/MLN

Le Lu; Shanguo Huang; Wanyi Gu

doi:10.1117/12.904391

15 December 2011 A dynamic ant colony optimization for load balancing in MRN/MLN

Le Lu, Shanguo Huang, Wanyi Gu

Proceedings Volume 8310, Network Architectures, Management, and Applications IX; 83101Q (2011) https://doi.org/10.1117/12.904391
Event: SPIE/OSA/IEEE Asia Communications and Photonics, 2011, Shanghai, China

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.

Citation Download Citation

Le Lu, Shanguo Huang, and Wanyi Gu "A dynamic ant colony optimization for load balancing in MRN/MLN", Proc. SPIE 8310, Network Architectures, Management, and Applications IX, 83101Q (15 December 2011); https://doi.org/10.1117/12.904391

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