An Allocation and Optimization Procedure for ARPANET Network Reliability Using Particle Swarm Optimization
DOI:
https://doi.org/10.29304/jqcsm.2024.16.21554Keywords:
Enhanced particle swarm optimization (PSO), Reliability optimization, Reliability allocationAbstract
In this paper we study the expansion of the telecommunications industry and the complexity of communications infrastructures. For ARPA networks such as ARPANET, the provision of integrated broadband service is essential. The new technology used in ARPANETs and changing traffic patterns have attracted much research attention to network topological design. Most topological design researchers have proposed techniques based on expensive exchange-based hardware. We presented a realistic ARPA network model in this study. ARPA network architecture includes network optimization. We proposed to apply particle swarm optimization (PSO) to enhance the ARPA network, and we also estimated the appropriate distribution of each system component using an exponential cost function. The results of the study show that the optimizer (PSO) had good results.
Downloads
References
Abuali, F.N., D.A. Schoenefeld, and R.L. Wainwright. Terminal assignment in a communications network using genetic algorithms. in Proceedings of the 22nd annual ACM computer science conference on Scaling up: meeting the challenge of complexity in real-world computing applications: meeting the challenge of complexity in real-world computing applications. 1994.
Deb, K. Genetic algorithm in search and optimization: the technique and applications. in Proceedings of International Workshop on Soft Computing and Intelligent Systems,(ISI, Calcutta, India). 1998. Proceedings of International Workshop on Soft Computing and Intelligent ….
Sulaiman, H.K., et al., A model for allocation and optimization of reliability complex network using Particle Swarm Optimization and Genetic Algorithms. Computer Science, 2023. 18(2): p. 225-231.
Hasslinger, G., S. Schnitter, and M. Franzke, The efficiency of traffic engineering with regard to link failure resilience. Telecommunication Systems, 2005. 29: p. 109-130.
Elbaum, R. and M. Sidi, Topological design of local-area networks using genetic algorithms. IEEE/ACM transactions on networking, 1996. 4(5): p. 766-778.
Sulaiman, H.K., F.H. Ali, and Z.A.H. Hassan. Computational models for allocation and optimization of reliability for ROSS network. in AIP Conference Proceedings. 2023. AIP Publishing.
Kirkpatrick, S., Optimization by simulated annealing. Science, 1984. 220: p. 4598.
Abed, S.A., H.K. Sulaiman, and Z.A.H. Hassan. Reliability Allocation and Optimization for (ROSS) of a Spacecraft by using Genetic Algorithm. in Journal of Physics: Conference Series. 2019. IOP Publishing.
Fidler, B. and M. Currie, The production and interpretation of ARPANET maps. IEEE Annals of the History of Computing, 2015. 37(1): p. 44-55.
Davis, L., et al. A genetic algorithm for survivable network design. in Proceedings of the 5th International Conference on Genetic Algorithms. 1993.
Back, T., U. Hammel, and H.-P. Schwefel, Evolutionary computation: Comments on the history and current state. IEEE transactions on Evolutionary Computation, 1997. 1(1): p. 3-17.
Liu, X., Network capacity allocation for traffic with time priorities. International Journal of Network Management, 2003. 13(6): p. 411-417.
Burrell, A., D. Makrakis, and P. Papantoni-Kazakos, Traffic monitoring for capacity allocation of multimedia traffic in ATM broadband networks. Telecommunication Systems, 1998. 9: p. 173-206.
Gerla, M., J.S. Monteiro, and R. Pazos, Topology design and bandwidth allocation in ATM nets. IEEE Journal on Selected Areas in Communications, 1989. 7(8): p. 1253-1262.
Kim, S.-B., M.-J. Kim, and S.-I. Lee. Mathematical models for dimensioning of ATM networks. in Proceedings of GLOBECOM'95. 1995. IEEE.
Davis, L. and S. Coombs. Genetic algorithms and communication link speed design: theoretical considerations. in Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application. 1987.
Thangaraj, R., et al., Particle swarm optimization: Hybridization perspectives and experimental illustrations. Applied Mathematics and Computation, 2011. 217(12): p. 5208-5226.
Feng, X., et al., Reliability of Electric Vehicle with Wind Turbine Based on Particle Swarm Optimization. Chemical Engineering Transactions, 2018. 66: p. 1291-1296.
Gad, A.G., Particle swarm optimization algorithm and its applications: a systematic review. Archives of computational methods in engineering, 2022. 29(5): p. 2531-2561.
Rios, M., V. Marianov, and C. Abaroa. Design of heterogeneous traffic networks using simulated annealing algorithms. in International Conference on Information Networking. 2005. Springer.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Laith Adnan Hadi Almhana
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
