Title :
A QoS multicast routing algorithm based on ant colony algorithm
Author :
Wang, Ziqiang ; Zhang, Dexian
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., China
Abstract :
Ant colony optimization (ACO) algorithm is a new meta-heuristic for hard combinational optimization problem. In order to resolve QoS multicast routing effectively and efficiently, this paper firstly describe QoS multicast routing model and ACO algorithm, then a new version of ACO algorithm based on pheromone local and global updating rule is proposed. Simulation results show that this algorithm can find optimal solution quickly and has a good scalability.
Keywords :
multicast communication; optimisation; quality of service; telecommunication network routing; QoS multicast routing algorithm; ant colony optimization; combinational optimization problem; Ant colony optimization; Bandwidth; Costs; Delay effects; IP networks; Information science; Multicast algorithms; Quality of service; Routing; Scalability;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on
Print_ISBN :
0-7803-9335-X
DOI :
10.1109/WCNM.2005.1544222
