Optimization Survivable Multipath Provisioning Based on Multi-objectives Genetic Algorithm for Elastic Optical Networks

LIU Huanlin; LI Ruiyan; KONG Deqian; CHEN Yong

doi:10.11999/JEIT151384

Volume 38 Issue 9

Sep. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(9): 2261-2267

LIU Huanlin, LI Ruiyan, KONG Deqian, CHEN Yong. Optimization Survivable Multipath Provisioning Based on Multi-objectives Genetic Algorithm for Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2261-2267. doi: 10.11999/JEIT151384

Citation:

LIU Huanlin, LI Ruiyan, KONG Deqian, CHEN Yong. Optimization Survivable Multipath Provisioning Based on Multi-objectives Genetic Algorithm for Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2261-2267. doi: 10.11999/JEIT151384

Citation:

LIU Huanlin, LI Ruiyan, KONG Deqian, CHEN Yong. Optimization Survivable Multipath Provisioning Based on Multi-objectives Genetic Algorithm for Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2261-2267. doi: 10.11999/JEIT151384

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Optimization Survivable Multipath Provisioning Based on Multi-objectives Genetic Algorithm for Elastic Optical Networks

doi: 10.11999/JEIT151384

1.
(Key Laboratory of Optical Communications and Networks, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
2.
(School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

Funds:

The National Natural Science Foundation of China (61275077, 61571072), The Scientific Research Fund of Chongqing Municipal Commission (KJ1140421), The Basic and Frontier Research Program of Chongqing (2015jcyjA40024)

Received Date: 2015-12-08
Rev Recd Date: 2016-05-13
Publish Date: 2016-09-19

Abstract

Abstract

Multipath provisioning algorithm outperforms single-path provisioning algorithm in terms of bandwidth blocking probability. However, multipath transmission causes the differential delay among different paths and affects the usage of spectrum resources. To address the problem, a Genetic Multipath Protection Algorithm (GMPA) is proposed based on multi-objectives genetic algorithm. according to traffic requests, the K link-disjoined paths and bandwidth assignments are designed as the population initialization scheme. A vector function is proposed to balance the path-distance difference and network spectrum resources by optimizing population classification and crowding distance sorting. An individual self-cross pattern is introduced and the variation range and constraint conditions of bandwidth gene are designed to improve the algorithm search ability and convergence. Compared with the Multiple Path Protection (MPP) and Primary First-fit Modified Backup Last-fit (PF-MBL), simulation results show that the proposed GMPA algorithm can get lowest bandwidth blocking probability, its spectrum resource utilization is close to the optimal MPP, and the path-distance difference of GMPA is better than that of MPP.
- Elastic Optical Networks (EONs),
- Genetic Multipath Protection Algorithm (GMPA),
- Path-distance difference

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References(20)

References

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