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Journal articles

A Bio‐Inspired Quality of Service (QoS) Routing Algorithm

A Mellouk 1 S. Hoceini 1 S. Zeadally
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : We propose in this letter a bio-inspired Quality of Service (QoS) routing algorithm that is based on the trial/error paradigm combined with a continuous adaptive function to optimize three QoS criteria: static cumulative cost path and dynamic end-to-end delay and residual bandwidth. Our proposed approach uses a model that combines a stochastic planned pre-navigation for the exploration phase and a deterministic approach for the backward phase. We adopt a unified framework of online learning to develop a cost function. We evaluated the performance of our QoS-routing algorithm and the simulation results demonstrate substantial performance improvements for networks with dynamically changing traffic.
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Submitted on : Tuesday, January 9, 2018 - 11:16:09 AM
Last modification on : Tuesday, October 19, 2021 - 4:10:12 PM


  • HAL Id : hal-01678452, version 1



A Mellouk, S. Hoceini, S. Zeadally. A Bio‐Inspired Quality of Service (QoS) Routing Algorithm. IEEE Communications Letters, Institute of Electrical and Electronics Engineers, 2011, 15 (9), pp.1016-1018. ⟨hal-01678452⟩



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