Author(s): S.M. ELseuofi
Journal: International Journal of Computer Science & Information Technology
ISSN 0975-4660
Volume: 4;
Issue: 1;
Start page: 165;
Date: 2012;
VIEW PDF
DOWNLOAD PDF 
Original page
Keywords: Multicasting | Particle Swarms Optimizer (PSO) | QoS | Communication Networks | and Combinatorial Optimization.
ABSTRACT
In this paper, a Particle Swarm Optimization algorithm used to solve the quality of service routing problems is proposed. Each Multicast Particle Swarm Optimization system in the Multicast Particle Swarm Optimization system router will uses an efficient objective function that reflect one or more of the QoS parameters to evaluate the multicast Tree between one source node and multiple destination nodes according to Class of Service (CoS). We first classify the applications into classes according to its sensitivity to one or more QoS parameters. Our proposed multicast PSO router finds the multicast Tree with minimum cost subject to specific QoS parameter(s) and for the specific application that belong toappropriate CoS in computer networks. The multicast PSO router system is distributed at each node in communication network and it makes its decision based on a database of alternate routes between each pairs of nodes in the network dynamically. The simulation results explain that the proposed multicast PSO systems in the Multicast Particle Swarm Optimization system router exhibits a good quality of solution and a good rate of convergence to optimal solution for each CoS that lead to high speed response in computer networks.
Journal: International Journal of Computer Science & Information Technology
ISSN 0975-4660
Volume: 4;
Issue: 1;
Start page: 165;
Date: 2012;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Multicasting | Particle Swarms Optimizer (PSO) | QoS | Communication Networks | and Combinatorial Optimization.
ABSTRACT
In this paper, a Particle Swarm Optimization algorithm used to solve the quality of service routing problems is proposed. Each Multicast Particle Swarm Optimization system in the Multicast Particle Swarm Optimization system router will uses an efficient objective function that reflect one or more of the QoS parameters to evaluate the multicast Tree between one source node and multiple destination nodes according to Class of Service (CoS). We first classify the applications into classes according to its sensitivity to one or more QoS parameters. Our proposed multicast PSO router finds the multicast Tree with minimum cost subject to specific QoS parameter(s) and for the specific application that belong toappropriate CoS in computer networks. The multicast PSO router system is distributed at each node in communication network and it makes its decision based on a database of alternate routes between each pairs of nodes in the network dynamically. The simulation results explain that the proposed multicast PSO systems in the Multicast Particle Swarm Optimization system router exhibits a good quality of solution and a good rate of convergence to optimal solution for each CoS that lead to high speed response in computer networks.
