Genetic algorithm-based congestion control optimisation for mobile data network
- Autores: Wang Yushuang, Xing Yongli
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 2405-2412
- Idioma: inglés
- Enlaces
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Resumen
Mobile data network is featured by long delay and moving terminals, which affect the user service quality performance oftransmission control protocol’s (TCP) congestion control algorithm Vegas. To solve this problem, this paper first proposedto optimise the congestion control algorithm using a genetic algorithm, build ns-3 network topology structure and adoptmobile data network trace for optimisation and simulation; and the Vegas optimisation problem as a multivariate dual-objective problem was solved with Non-dominated Sorting Genetic Algorithm II (NSGA-II). The ns-3 simulation resultsindicate that Vegas with optimised parameters have high throughput and short delay, which significantly promotes TCPVegas’s QoS under a mobile scene.
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