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Authors: Wei Qi 1 and Xiaomin Zhu 2

Affiliations: 1 School of Electronics and Information Engineering, Beijing J, China ; 2 School of Mechanical, Electronic and Control Engineering, Be, China

Keyword(s): Cognitive Network, QoS, Resource Reservation, Adaptive Borrowing.

Abstract: As an effective measure to ensure an end to end QoS, RSVP mechanism has been widely used in the QoS demanding applications. However, owing to the higher bandwidth requirements and the more complex circumstance in the networks, the current RSVP Mechanisms cannot satisfy the user's increasing requirements for Internet’s QoS. The Cognitive Network has been proposed as a solution for building improved network architecture. On the basis of analyzing the existing resource reservation mechanisms and the features of cognitive network, this paper combines RVSP mechanism and the features of cognitive networks, and accordingly proposes one Improved RSVP Mechanism named RSVP-Cognition Network (RSVP-CN) to optimize the end-to-end QoS. Comprehensive simulations show that the proposed RSVP-CN mechanism efficiently improves the end-to-end QoS in the networks.

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Paper citation in several formats:
Qi, W. and Zhu, X. (2010). RSVP-CN: ONE IMPROVED RSVP MECHANISM ADAPTED TO COGNITIVE NETWORKS. In Proceedings of the Twelfth International Conference on Informatics and Semiotics in Organisations - ICISO; ISBN 978-989-8425-26-3, SciTePress, pages 257-262. DOI: 10.5220/0003268902570262

@conference{iciso10,
author={Wei Qi. and Xiaomin Zhu.},
title={RSVP-CN: ONE IMPROVED RSVP MECHANISM ADAPTED TO COGNITIVE NETWORKS},
booktitle={Proceedings of the Twelfth International Conference on Informatics and Semiotics in Organisations - ICISO},
year={2010},
pages={257-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003268902570262},
isbn={978-989-8425-26-3},
}

TY - CONF

JO - Proceedings of the Twelfth International Conference on Informatics and Semiotics in Organisations - ICISO
TI - RSVP-CN: ONE IMPROVED RSVP MECHANISM ADAPTED TO COGNITIVE NETWORKS
SN - 978-989-8425-26-3
AU - Qi, W.
AU - Zhu, X.
PY - 2010
SP - 257
EP - 262
DO - 10.5220/0003268902570262
PB - SciTePress

- Science and Technology Publications, Lda.
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