Abstract
This paper deals with the problem optimising the quality of service (QoS) in a multicast routing with multiple constraints (multi constrained least-cost multicast routing problem). To solve this problem, we propose two approaches. The first one named biogeography-based optimisation (BBO) is inspired by the biogeography mathematics; the second, named bat algorithm (BA) is inspired from bat behaviour. We propose to use a tree structure to represent the solution. We start optimising the graph representing the network. We propose to generate the initial population with greedy heuristic using depth first search (DFS). Then, we optimise the initial population solutions in order to minimise the execution time. We have adapted BBO and BA operators to deal with the discrete nature of the problem and the structures representing the problem solution. In experiments, we have used Waxman topology model to generate the graph. The results were encouraging in comparison with other existing algorithms.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Communication Networks and Distributed Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.