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Minimum Cost Multicast Routing Using Ant Colony Optimization Algorithm

Authors
Hu, Xiao-MinZhang, Jun
Issue Date
Jul-2013
Publisher
Hindawi Publishing Corporation
Citation
Mathematical Problems in Engineering, v.2013, pp 1 - 14
Pages
14
Indexed
SCIE
SCOPUS
Journal Title
Mathematical Problems in Engineering
Volume
2013
Start Page
1
End Page
14
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/115865
DOI
10.1155/2013/432686
ISSN
1024-123X
1563-5147
Abstract
Multicast routing (MR) is a technology for delivering network data from some source node(s) to a group of destination nodes. The objective of the minimum cost MR (MCMR) problem is to find an optimal multicast tree with the minimum cost for MR. This problem is NP complete. In order to tackle the problem, this paper proposes a novel algorithm termed the minimum cost multicast routing ant colony optimization (MCMRACO). Based on the ant colony optimization (ACO) framework, the artificial ants in the proposed algorithm use a probabilistic greedy realization of Prim's algorithm to construct multicast trees. Moving in a cost complete graph (CCG) of the network topology, the ants build solutions according to the heuristic and pheromone information. The heuristic information represents problem-specific knowledge for the ants to construct solutions. The pheromone update mechanisms coordinate the ants' activities by modulating the pheromones. The algorithm can quickly respond to the changes of multicast nodes in a dynamic MR environment. The performance of the proposed algorithm has been compared with published results available in the literature. Results show that the proposed algorithm performs well in both static and dynamic MCMR problems.
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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