<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Mobile data network is featured by long delay and moving terminals, which affect the user service quality performance of transmission control protocol’s (TCP) congestion control algorithm Vegas. To solve this problem, this paper first proposed to optimise the congestion control algorithm using a genetic algorithm, build ns-3 network topology structure and adopt mobile 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 results indicate that Vegas with optimised parameters have high throughput and short delay, which significantly promotes TCP Vegas’s QoS under a mobile scene.</p>
</abstract>

Mobile data network is featured by long delay and moving terminals, which affect the user service quality performance of transmission control protocol’s (TCP) congestion control algorithm Vegas. To solve this problem, this paper first proposed to optimise the congestion control algorithm using a genetic algorithm, build ns-3 network topology structure and adopt mobile 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 results indicate that Vegas with optimised parameters have high throughput and short delay, which significantly promotes TCP Vegas’s QoS under a mobile scene.

Genetic algorithm-based congestion control optimisation for mobile data network

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Genetic algorithm-based congestion control optimisation for mobile data network"}

Mobile data network is featured by long delay and moving terminals, which affect the user service quality performance of transmission control protocol’s (TCP)...

Genetic algorithm-based congestion control optimisation for mobile data network

Online veröffentlicht: 12. Dez. 2022

Seitenbereich: 2405 - 2412

Eingereicht: 20. Mai 2022

Akzeptiert: 19. Nov. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00309

Schlüsselwörter
Mobile cellular networks, Congestion control, TCP Vegas, NSGA-II, ns-3

© 2023 Wang Yushuang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Genetic algorithm-based congestion control optimisation for mobile data network

Online veröffentlicht: 12. Dez. 2022

Seitenbereich: 2405 - 2412

Eingereicht: 20. Mai 2022

Akzeptiert: 19. Nov. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00309

SchlüsselwörterMobile cellular networks, Congestion control, TCP Vegas, NSGA-II, ns-3

© 2023 Wang Yushuang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Schlüsselwörter
Mobile cellular networks, Congestion control, TCP Vegas, NSGA-II, ns-3