|2/2020 - 7|
Firefly Algorithm Based Optimization Model for Planning of Optical Transport NetworksOLIVEIRA, B. Q. , SOUSA, M. A. , TELES VIEIRA, F. H.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,392 KB) | Citation | Downloads: 683 | Views: 1,746|
artificial intelligence, communication networks, genetic algorithms, optical fiber networks, optimization
networks(21), optical(20), communications(9), algorithm(9), design(7), routing(6), optimization(6), networking(6), network(6), inspired(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2020-05-31
Volume 20, Issue 2, Year 2020, On page(s): 55 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.02007
Web of Science Accession Number: 000537943500007
SCOPUS ID: 85087444683
The growth in data traffic is raising serious challenges for OTN in terms of improving their capacity efficiency in order to meet the new traffic requirements. Under these circumstances, the task of efficiently utilizing available resources opens opportunities for the development of a variety of techniques for network planning. This paper presents a decision support system for the optical transport network. It is considered the optical transport network planning problem where a traffic interest matrix between the demand nodes is specified. The network is modeled as a graph, through the arc-path approach. An Integer Linear Programming problem solved with a Firefly Algorithm is proposed for network planning, considering cost minimization. The main novelties of the proposed ILP model is that it accomplishes the optical network design with the possibility of multiple destinations of the traffic matrix and with dynamic allocation of the transmission system modularity. To solve the ILP optimization model the firefly algorithm, genetic algorithm and the exact method are used. Simulations are carried out to verify the performance of the bio-inspired algorithms in relation to the exact method. The results obtained with the firefly algorithm surpass those of the genetic algorithm and approximate the optimal result.
|References|||||Cited By «-- Click to see who has cited this paper|
| A. Kumar, M. Gupta, "A review on activities of fifth generation mobile communication system," Alexandria Engineering Journal, 2017. |
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 84]
 S. Mumtaz, A. Morgado, K. M. S. Huq, J. Rodriguez, "A survey of 5G technologies: regulatory, standardization and industrial perspectives," Digital Communications and Networks, 2017.
[CrossRef] [Web of Science Times Cited 146] [SCOPUS Times Cited 198]
 S. Li, L. Da Xu, S. Zhao, "5G internet of things: a survey," Journal of Industrial Information Integration, 2018.
[CrossRef] [Web of Science Times Cited 756] [SCOPUS Times Cited 1000]
 Q. Wang, G. Ying, "OTN for the future transmission network," Symposium on Photonics and Optoelectronics, 2012.
[CrossRef] [SCOPUS Times Cited 2]
 T. G. Robertazzi. Optical Networks for Telecommunications. Introduction to Computer Networking. Springer, Cham, pp. 67-79, 2017.
 Y. S. Kavian. Intelligent Systems for Optical Networks Design: Advancing Techniques: Advancing Techniques. IGI Global, pp. 153-174, 2013.
 F. Musumeci, et al., "An overview on application of machine learning techniques in optical networks," IEEE Communications Surveys & Tutorials, 2018.
[CrossRef] [Web of Science Times Cited 315] [SCOPUS Times Cited 397]
 J. Simmons. Optical Network Design and Planning. Springer International Publishing Switzerland, pp. 10-15, 2014.
 X. S. Yang. Nature-Inspired Metaheuristic Algorithms. Luniver Press, Second Edition, pp. 1-5, 2010.
 A. Eira, J. Santos, J. Pedro, J. Pires, "Multi-objective design of survivable flexible-grid DWDM networks," IEEE/OSA Journal of Optical Communications and Networking, vol. 3, pp. 326-339, 2014.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 26]
 D. Din, "Heuristic and genetic algorithms for solving the virtual topology design problem on elastic optical networks," Journal of Information Science & Engineering, vol. 33, 2017.
[CrossRef] [SCOPUS Times Cited 2]
 D. Din, "Genetic algorithm for virtual topology design on MLR WDM networks," Optical Switching and Networking, vol. 18, pp. 20-34, 2015.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 7]
 S. A. Fernandez, A. A. Juan, J. A. Adrian, J., D. G. Silva, D. R. Terren, "Metaheuristics in telecommunication systems: network design, routing, and allocation problems," IEEE Systems Journal, vol. 12, pp. 3948-3957, 2018.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 20]
 J. Mata, et al., "Artificial intelligence (AI) methods in optical networks: A comprehensive survey," Optical Switching and Networking, vol. 28, pp. 43-57, 2018.
[CrossRef] [Web of Science Times Cited 229] [SCOPUS Times Cited 294]
 X. S. Yang, S. F. Chien, T. O. Ting. Bio-inspired computation in telecommunications. Morgan Kaufmann, pp. 23-38, 2015.
 C. Papagianni, et al., "Communication network design using particle swarm optimization," IEEE International Multiconference on Computer Science and Information Technology, pp. 915-920, 2008.
[CrossRef] [SCOPUS Times Cited 22]
 J. Triay, C. Cervello, "An ant-based algorithm for distributed routing and wavelength assignment in dynamic optical networks," IEEE journal on selected areas in communications, vol. 28, pp. 542-552, 2010.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 57]
 A. Rubio, M. A. Veja, and D. L. GonzÃ¡lez, "An improved multiobjective approach inspired by the flashing behaviour of fireflies for Traffic Grooming in optical WDM networks," Applied Soft Computing, pp. 617-636, 2014.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]
 J. Pedro, "Designing transparent flexible-grid optical networks for maximum spectral efficiency," IEEE/OSA Journal of Optical Communications and Networking, 2017.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 28]
 H. Liu, C. Xiong, Y. Chen, C. Li, D. Chen, "An optimization method of VON mapping for energy efficiency and routing in elastic optical networks," Optical Fiber Technology, vol. 41, pp. 173-181, 2018.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 6]
 A. Eira, J. Pedro, J. Pires, "Cost-optimized dimensioning of translucent WDM networks with mixed-line-rate spectrum-flexible channels," IEEE 13th International Conference on High Performance Switching and Routing, 2012.
[CrossRef] [SCOPUS Times Cited 6]
 X. Chen, J. Admela, "Optimized parallel transmission in otn/wdm networks to support high-speed ethernet with multiple lane distribution," Journal of Optical Communications and Networking, pp. 248-258, 2012.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 9]
 J. R. Santos, A. Eira, J. Pires, "A Heuristic Algorithm for Designing OTN Over Flexible-Grid DWDM Networks," Journal of Communications, 2017.
[CrossRef] [SCOPUS Times Cited 4]
 M. S. Bazaraa, J. J. Jarvis, H. D. Sherali. Linear Programming and Network Flows. 4a ed., Willey, pp. 1-35, 2010.
 R. Goscien, "Two metaheuristics for routing and spectrum allocation in cloud-ready survivable elastic optical networks," Swarm and Evolutionary Computation, vol. 44, pp. 388-403, 2019.
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 16]
 R. Goscien, M. Lozano, "Artificial bee colony for optimization of cloud-ready and survivable elastic optical networks," Computer Communications, vol. 128, pp. 35-45, 2018.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 10]
 D. T. Hai, "A bi-objective integer linear programming model for the routing and network coding assignment problem in WDM optical networks with dedicated protection," Computer Communications, vol. 133, pp. 51-58, 2019.
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 19]
 K. D. R. Assis, I. Queiroz, R. C. Almeida, H. Waldman, "MILP formulation for resource optimization in Spectrum-Sliced Elastic Optical Path Networks," Microwave & Optoelectronics Conference (IMOC), SBMO/IEEE MTT-S International, 2013.
[CrossRef] [SCOPUS Times Cited 5]
 A. Ghosh, S. Tsutsui. Advances in Evolutionary Computing: Theory and Applications. Springer Science & Business Media, pp. 441-461, 2012.
 X. S. Yang. Cuckoo Search and Firefly Algorithm: Theory and Applications. Vol. 516, Springer, pp. 315-331, 2013.
 X. S. Yang, X. He, "Firefly algorithm: recent advances and applications." International Journal of Swarm Intelligence, vol. 1, pp. 36-50, 2013.
 W. T. Lunardi, V. Holger, "Comparative study of genetic and discrete firefly algorithm for combinatorial optimization." Proceedings of the 33rd Annual ACM Symposium on Applied Computing. ACM, 2018.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 5]
 A. M. Mohsen, W. Al-Sorori, "A new hybrid discrete firefly algorithm for solving the traveling salesman problem." Applied Computing and Information Technology." Springer, Cham, 2017. p. 169-180.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]
 G. K. Jati, R. Manurung, "Discrete firefly algorithm for traveling salesman problem: A new movement scheme." Swarm Intelligence and Bio-Inspired Computation. Elsevier, pp. 295-312, 2013.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 34]
 X. S. Yang, X. He, "Applications of nature-inspired algorithms." In Mathematical Foundations of Nature-Inspired Algorithms, Springer, pp. 87-97, 2019.
 D. R. Morrison, S. H. Jacobson, J. J. Sauppe, E. C. Sewell, "Branch-and-bound algorithms: a survey of recent advances in searching, branching, and pruning." Discrete Optimization, vol. 19, pp. 79-102, 2016.
[CrossRef] [Web of Science Times Cited 215] [SCOPUS Times Cited 264]
 A. Schickedanz, D. Ajwani, U. Meyer, P. Gawrychowski, "Average case behavior of k-shortest path algorithms." In International Conference on Complex Networks and their Applications, Springer, pp. 28-40, 2018.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]
 F. Gang, "Finding k-shortest simple paths in directed graphs: A node classification algorithm." Networks, vol. 64, pp. 6-17, 2014.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 14]
Web of Science® Citations for all references: 1,905 TCR
SCOPUS® Citations for all references: 2,542 TCR
Web of Science® Average Citations per reference: 49 ACR
SCOPUS® Average Citations per reference: 65 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2023-11-26 01:13 in 173 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.