Multi-level and multi-index planning and evaluation method for optical network

The key indicators affecting business reliability were analyzed in depth,and a network planning model for reliability and construction cost was established.Then an adaptive immune algorithm was designed to solve the network planning model.Then,a multi-level and multi-index oriented evaluation model...

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Main Authors: Xiaohong CAO, Siya XU, Guiping ZHOU, ·ingjie WANG, Botao ·U
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2019-09-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019206/
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author Xiaohong CAO
Siya XU
Guiping ZHOU
·ingjie WANG
Botao ·U
author_facet Xiaohong CAO
Siya XU
Guiping ZHOU
·ingjie WANG
Botao ·U
author_sort Xiaohong CAO
collection DOAJ
description The key indicators affecting business reliability were analyzed in depth,and a network planning model for reliability and construction cost was established.Then an adaptive immune algorithm was designed to solve the network planning model.Then,a multi-level and multi-index oriented evaluation model for network planning method was established,and the weights of the indexes were obtained by using neural network algorithm,so as to achieve a comprehensive and effective evaluation of the network planning method.The simulation results show that the multi-level and multi-index oriented optical network planning and evaluation method proposed can improve the utilization of optical cable resources and the site ring rate,reduce the network construction cost,ensure the network reliability,and help to improve the efficiency and quality of network operation and maintenance.
format Article
id doaj-art-76fa2b1e88054b9b89f412f2cc601d63
institution Kabale University
issn 1000-0801
language zho
publishDate 2019-09-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-76fa2b1e88054b9b89f412f2cc601d632025-01-15T03:02:19ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-09-0135586859587338Multi-level and multi-index planning and evaluation method for optical networkXiaohong CAOSiya XUGuiping ZHOU·ingjie WANGBotao ·UThe key indicators affecting business reliability were analyzed in depth,and a network planning model for reliability and construction cost was established.Then an adaptive immune algorithm was designed to solve the network planning model.Then,a multi-level and multi-index oriented evaluation model for network planning method was established,and the weights of the indexes were obtained by using neural network algorithm,so as to achieve a comprehensive and effective evaluation of the network planning method.The simulation results show that the multi-level and multi-index oriented optical network planning and evaluation method proposed can improve the utilization of optical cable resources and the site ring rate,reduce the network construction cost,ensure the network reliability,and help to improve the efficiency and quality of network operation and maintenance.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019206/optical networknetwork planningevaluation modeladaptive immune algorithmneural network algorithm
spellingShingle Xiaohong CAO
Siya XU
Guiping ZHOU
·ingjie WANG
Botao ·U
Multi-level and multi-index planning and evaluation method for optical network
Dianxin kexue
optical network
network planning
evaluation model
adaptive immune algorithm
neural network algorithm
title Multi-level and multi-index planning and evaluation method for optical network
title_full Multi-level and multi-index planning and evaluation method for optical network
title_fullStr Multi-level and multi-index planning and evaluation method for optical network
title_full_unstemmed Multi-level and multi-index planning and evaluation method for optical network
title_short Multi-level and multi-index planning and evaluation method for optical network
title_sort multi level and multi index planning and evaluation method for optical network
topic optical network
network planning
evaluation model
adaptive immune algorithm
neural network algorithm
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019206/
work_keys_str_mv AT xiaohongcao multilevelandmultiindexplanningandevaluationmethodforopticalnetwork
AT siyaxu multilevelandmultiindexplanningandevaluationmethodforopticalnetwork
AT guipingzhou multilevelandmultiindexplanningandevaluationmethodforopticalnetwork
AT ingjiewang multilevelandmultiindexplanningandevaluationmethodforopticalnetwork
AT botaou multilevelandmultiindexplanningandevaluationmethodforopticalnetwork