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Computing constrained shortest paths is fundamental to some important network functions such as QoS routing and traffic engineering. This paper introduces a polynomial time approximation Quality of Service (QoS) routing algorithm and constructs dynamic state-dependent routing policies. The proposed algorithm uses a bio-inspired approach based on the trial/error paradigm combined with swarm adaptive...
This paper introduces a polynomial time approximation quality of service (QoS) routing algorithm and constructs dynamic state-dependent routing policies. The proposed algorithm uses an inductive approach based on trial/error paradigm combined with swarm adaptive approaches to optimize the end-to-end delay packet transmission. The algorithm presented here is based on our earlier adaptive routing system...
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,...
High speed modern communication networks are required to integrate and support multimedia application which requires differentiated quality-of-service (QoS) guarantees. Routing mechanism is a key to success of future communication networking. However, it is often complicated by the notion of guaranteed QoS, which can either be related to time, cost, packet loss or bandwidth requirements. Communication...
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