<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

Published Online: Dec 12, 2022

Page range: 2405 - 2412

Received: May 20, 2022

Accepted: Nov 19, 2022

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

Keywords
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

Published Online: Dec 12, 2022

Page range: 2405 - 2412

Received: May 20, 2022

Accepted: Nov 19, 2022

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

KeywordsMobile 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

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