Sparse Regeneration Placement for Translucent Optical Networks Using Multiobjective Evolutionary Algorithms Considering Quality of Service and Capital Cost

被引:0
|
作者
Chaves, Daniel A. R. [1 ]
Ayres, Caio F. C. L. C. [1 ]
Carvalho, Renan V. B. [2 ]
Pereira, Helder A. [2 ]
Bastos-Filho, Carmelo J. A. [3 ]
Martins-Filho, Joaquim F. [1 ]
机构
[1] Univ Fed Pernambuco, Dept Elect & Syst, BR-50740530 Recife, PE, Brazil
[2] Univ Pernambuco, Dept Elect Engn, BR-52720001 Recife, PE, Brazil
[3] Univ Pernambuco, Dept Comp & Syst, BR-52720001 Recife, PE, Brazil
关键词
Physical Impairments; Translucent Optical Networks; Sparse Regeneration;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper we propose the use a multiobjective evolutionary optimization algorithm to solve the regenerators placement problem (MORP). Network performance and capital costs are used as optimization objectives. We consider that optical signals are regenerated using a network element that performs 3R (re-amplifying, re-shaping and re-timing) in the electrical domain. Two algorithms for regenerator placement are proposed: multiobjective regenerator placement-not constricted (MORP-NC) and multiobjective regenerator placement-constricted (MORP-C). They are compared through the computational simulation.
引用
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页码:407 / +
页数:2
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