QOS MULTICAST ROUTING DESIGN USING NEURAL NETWORK

Ming Huang; Shang Ming Zhu

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Paper

QOS MULTICAST ROUTING DESIGN USING NEURAL NETWORK

Topics: Instrumentation Networks and Software

In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, 213-216, 2008 , Funchal - Madeira, Portugal

Authors: Ming Huang and Shang Ming Zhu

Affiliation: East China University of Science and Technology, China

Keyword(s): Quality of service, Hopfield neural network, Multicast routing.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Instrumentation Networks and Software ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: In this paper, an algorithm based on Hopfield neural network for solving the problem of determining minimum cost paths to multiple destination nodes satisfying QoS requirements is proposed. The schema of constructing the multicast tree with HNN is emphasized after the analysis of the attributes of the multicast tree. At last, the emulation explores the feasibility of this algorithm.

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Paper citation in several formats:

Huang, M. and Ming Zhu, S. (2008). QOS MULTICAST ROUTING DESIGN USING NEURAL NETWORK. In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO; ISBN 978-989-8111-32-6; ISSN 2184-2809, SciTePress, pages 213-216. DOI: 10.5220/0001476002130216

@conference{icinco08,
author={Ming Huang. and Shang {Ming Zhu}.},
title={QOS MULTICAST ROUTING DESIGN USING NEURAL NETWORK},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO},
year={2008},
pages={213-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001476002130216},
isbn={978-989-8111-32-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO
TI - QOS MULTICAST ROUTING DESIGN USING NEURAL NETWORK
SN - 978-989-8111-32-6
IS - 2184-2809
AU - Huang, M.
AU - Ming Zhu, S.
PY - 2008
SP - 213
EP - 216
DO - 10.5220/0001476002130216
PB - SciTePress