NDLI: Widest K-Shortest Paths Q-Routing: A New QoS Routing Algorithm in Telecommunication Networks

Content Provider	IEEE Xplore Digital Library
Author	Esfahani, A. Analoui, M.
Copyright Year	2008
Description	Author affiliation: Comput. Dept., Golestan Univ., Gorgan (Esfahani, A.) \|\| Comput. Dept., Iran Univ. Sci. & Technol., Tehran (Analoui, M.)
Abstract	Actually, various kinds of sources (such as voice, video or data) with diverse traffic characteristics and quality of service requirements (QoS), which are multiplexed at very high rates, leads to significant traffic problems such as packet losses, transmission delays, delay variations, etc, caused mainly by congestion in the networks. The prediction of these problems in real time is quite difficult, making the effectiveness of "traditional" methodologies based on analytical models questionable. This article proposed and evaluates a QoS routing policy in packets topology and irregular traffic of communications network called widest K-shortest paths Q-routing. The technique used for the evaluation signals of reinforcement is Q-learning. Compared to standard Q-routing, the exploration of paths is limited to K best non loop paths in term of hops number (number of routers in a path) leading to a substantial reduction of convergence time. In this work a proposal for routing which improves the delay factor and is based on the reinforcement learning is concerned. We use Q-learning as the reinforcement learning technique and introduce K-shortest idea into the learning process. The proposed algorithm are applied to two different topologies. The OPNET is used to evaluate the performance of the proposed algorithm. The algorithm evaluation is done for two traffic conditions, namely low load and high load.
Starting Page	1032
Ending Page	1035
File Size	259538
Page Count	4
File Format	PDF
ISBN	9780769533360
DOI	10.1109/CSSE.2008.1264
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	OPNET Q-learning Quality of service Telecommunication traffic Routing Telecommunication congestion control Learning Telecommunication network topology Analytical models QOS Traffic control Propagation losses Communication networks
Content Type	Text
Resource Type	Article

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