State‐Dependent Packet Scheduling for QoS Routing in Dynamic Networks

M. Bourennane A. Mellouk 1 D. Benhamamouche
1 CIR
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : The packet scheduling in router plays an important role in the sense to achieve QoS differentiation and to optimize the queuing delay, in particular when this optimization is accomplished on all routers of a path between source and destination. In a dynamically changing environment a good scheduling discipline should be also adaptive to the new traffic conditions. We model this problem as a multi-agent system in which each agent learns through continual interaction with the environment in order to optimize its own behaviour. So, we adopt the framework of Markov decision processes applied to multi-agent system and present a pheromone-Q learning approach which combines the Q-multi-learning technique with a synthetic pheromone that acts as a communication medium speeding up the learning process of cooperating agents.
Document type :
Journal articles
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01678457
Contributor : Lab Lissi <>
Submitted on : Tuesday, January 9, 2018 - 11:16:12 AM
Last modification on : Wednesday, February 20, 2019 - 4:59:39 PM

Identifiers

  • HAL Id : hal-01678457, version 1

Collections

Citation

M. Bourennane, A. Mellouk, D. Benhamamouche. State‐Dependent Packet Scheduling for QoS Routing in Dynamic Networks. Telecommunication Systems, Springer, 2009, 42 (4), pp.249-261. 〈hal-01678457〉

Share

Metrics

Record views

33