The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
An Improved Network Congestion Control Strategy Based on Active Source and Link Management
Abstract
When a source end adopted FAST TCP to actively control the sending window, and the link end adopted active queue management algorithm, if the network parameters were improperly set, the system can be unstable. The relationship between the stability and network parameters was quantitatively analyzed. Aiming at the defect of network instability caused by radical window halving strategy, a new method based on stability analysis was proposed to make full use of the historical change information obtained by the source-end and to improve the window adjusting strategy of FAST TCP protocol according to the congestion status. Thus, the parameters of the active queue controller was modified indirectly to improve the stability of the system. Ns-2 simulation result verified the accuracy of the stability theory analysis and the effectiveness of the improvement strategy.
Related Content
Wanqiao Wang, Jian Su, Hui Zhang, Luyao Guan, Qingrong Zheng, Zhuofan Tang, Huixia Ding.
© 2024.
16 pages.
|
Tongyao Nie, Xinguang Lv.
© 2023.
14 pages.
|
Xinhong You, Pengping Zhang, Minglin Liu, Lingqi Lin, Shuai Li.
© 2023.
18 pages.
|
Nan Zhao, Jiaye Wang, Bo Jin, Ru Wang, Minghu Wu, Yu Liu, Lufeng Zheng.
© 2023.
17 pages.
|
Ali Bonyadi Naeini, Ali Golbazi Mahdipour, Rasam Dorri.
© 2023.
24 pages.
|
Agnitè Maxim Wilfrid Straiker Edoh, Tahirou Djara, Abdou-Aziz Sobabe Ali Tahirou, Antoine Vianou.
© 2023.
16 pages.
|
Mohamed Lachgar, Mohamed Hanine, Hanane Benouda, Younes Ommane.
© 2022.
22 pages.
|
|
|