Self-healing Model Construction and Simulation of Power SDH Transmission Network

DOI

10.2991/ammsa-18.2018.61How to use a DOI?

Keywords

SDH transmission network; self-healing model; simulation implementation

Abstract

With the rapid development of Synchronous Digital Hierarchy (SDH) technology, it has been increasingly used in power communication networks. The power communication network has high requirements on the reliability of data transmission, and the self-healing ring has the advantages of automatic fault recovery, high reliability, flexible networking, and simple implementation, which has become an indispensable part of the construction of power communication SDH networks. How to effectively evaluate the self-healing capabilities of SDH and improve the performance indicators of the transmitted services has become an urgent problem to be solved. In the actual operation of the network, the self-healing ability of SDH cannot be accurately and effectively evaluated. Therefore, based on the Exata simulation platform, this article models the SDH transmission network equipment, network, services and other resources as well as the self-healing behaviors, and realizes the whole process simulation of self-healing in the SDH transmission network. Finally, the availability of access network and backbone network are compared and evaluated in a certain area, which verifies that the channel protection function of SDH self-healing ring can effectively improve the security and reliability of the network.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiye Wang
AU  - Geng Zhang
AU  - Yanan Wang
AU  - Xiangzhou Chen
AU  - Yang Wang
PY  - 2018/05
DA  - 2018/05
TI  - Self-healing Model Construction and Simulation of Power SDH Transmission Network
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 293
EP  - 299
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.61
DO  - 10.2991/ammsa-18.2018.61
ID  - Wang2018/05
ER  -