Minimum Cost Multicast Routing Using Ant Colony Optimization Algorithm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-12
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Hu, Xiao-Min& Zhang, Jun. 2013. Minimum Cost Multicast Routing Using Ant Colony Optimization Algorithm. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1009384
Modern Language Association (MLA)
Hu, Xiao-Min& Zhang, Jun. Minimum Cost Multicast Routing Using Ant Colony Optimization Algorithm. Mathematical Problems in Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1009384
American Medical Association (AMA)
Hu, Xiao-Min& Zhang, Jun. Minimum Cost Multicast Routing Using Ant Colony Optimization Algorithm. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1009384
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009384