Data networks
Simulated annealing: theory and applications
Simulated annealing: theory and applications
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
IEEE/ACM Transactions on Networking (TON)
Admission control with priorities: approaces for multi-rate wireless system
Mobile Networks and Applications
Swarm intelligence
Wireless Personal Communications: An International Journal
A Fair Resource Allocation Protocol for Multimedia Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
A QoS Provisioning Scheme for Multimedia Wireless Networks
SMARTNET '00 Proceedings of the IFIP TC6 WG6.7 Sixth International Conference on Intelligence in Networks: Telecommunication Network Intelligence
On Accommodating Mobile Hosts in an Integrated Services Packet Network
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
QOS provisioning in micro-cellular networks supporting multimedia traffic
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 3)-Volume - Volume 3
Mobility Prediction's Influence on QoS in Wireless Networks: A Study on a Call Admission Algorithm
WIOPT '05 Proceedings of the Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Evolutionary Computation
Distributed call admission control in mobile/wireless networks
IEEE Journal on Selected Areas in Communications
Connection admission control for mobile multiple-class personal communications networks
IEEE Journal on Selected Areas in Communications
An adaptive bandwidth reservation scheme for high-speed multimedia wireless networks
IEEE Journal on Selected Areas in Communications
Distributed quality-of-service routing in ad hoc networks
IEEE Journal on Selected Areas in Communications
Predictive schemes for handoff prioritization in cellular networks based on mobile positioning
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
Though significant improvement in communication infrastructure has been attained in the mobile network technology, the issues concerning the optimized bandwidth allocation to different applications in a reasonable time remain challenging and need to be solved. Also varying mobility and various service class requirements of present multimedia applications makes it more critical. It is mostly realized in the present Third Generation (3G) and Beyond 3G (B3G) mobile network system. Hence an effective and efficient bandwidth optimization schemes for a cellular mobile network system are needed. In this paper we propose an algorithm based upon the Particle Swarm Optimization (PSO) approach to solve the bandwidth allocation problem. The PSO algorithm is an adaptive algorithm based on a social-psychological metaphor; a population of individuals adapts by returning stochastically toward previously successful regions. Although PSO is a population based evolutionary technique like Genetic Algorithm it differs in that each particle or solution contains a position, velocity and acceleration. We explore and analyze the behavior of particle by examining the computational results of our PSO algorithm under different parameter settings. The performance of the PSO algorithm is compared with metaheuristic technique namely Simulated annealing (SA). Experimental results shown that the proposed PSO algorithm is an efficient and competitive approach in composing fairly good results with respect to solution quality and execution time for the bandwidth optimization problem as compared with SA.