Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/23969
Title: Quality of service aware ant colony optimization routing algorithm
Authors: Saliba, Chris
Farrugia, Reuben A.
Keywords: Quality of service (Computer networks)
Routing (Computer network management)
Routing protocols (Computer network protocols)
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Saliba, C., & Farrugia R. A. (2010). Quality of service aware ant colony optimization routing algorithm. 15th IEEE Mediterranean Electrotechnical Conference (MELECON), Valletta. 343-347.
Abstract: The demand for Internet connectivity has grown exponentially in the past few years. Moreover, the advent of new services such as Voice over IP (VoIP), Video on Demand (VOD) and Videoconferencing applications have caused a sever increase in traffic, which makes it extremely hard to ensure an acceptable level of quality. This is mainly attributed to current routing strategies, such as Link State (LS) and Distance Vector (DV), which are not optimal in terms of Quality of Service (QoS). This paper presents a QoS-Aware routing strategy based on the Ant Colony Optimization (ACO) concept, where a set of artificial ants are used to determine the optimal path. The proposed method was compared to other state of the art ACO procedures and traditional routing schemes like LS and DV. Simulation results clearly demonstrate that the proposed scheme outperforms all the methods considered in this paper where throughput gains of 8% and a reduction in delay of 38% for time critical applications were achieved.
URI: https://www.um.edu.mt/library/oar//handle/123456789/23969
Appears in Collections:Scholarly Works - FacICTCCE

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