A distributed algorithm for delay-constrained unicast routing
IEEE/ACM Transactions on Networking (TON)
Ant Algorithms Solve Difficult Optimization Problems
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Global roaming in next-generation networks
IEEE Communications Magazine
A perspective on the evolution of mobile communications
IEEE Communications Magazine
A beehive algorithm based QoS unicast routing scheme with ABC supported
APPT'07 Proceedings of the 7th international conference on Advanced parallel processing technologies
A small-world optimization algorithm based and ABC supported QoS unicast routing scheme
NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
An artificial fish swarm algorithm based and ABC supported qos unicast routing scheme in NGI
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Hi-index | 0.00 |
Due to the difficulty on exact measurement and expression of NGI (Next-Generation Internet) network status, the necessary QoS routing information is fuzzy. With the gradual commercialization of network operation, paying for network usage calls for QoS pricing and accounting. In this paper, a microeconomics-based fuzzy QoS unicast routing scheme is proposed, consisting of three phases: edge evaluation, game analysis, and route selection. It attempts to make both network provider and user utilities maximized along the found route, with not only the user QoS requirements satisfied but also the Pareto-optimum under the Nash equilibrium on their utilities achieved.