A New Approach on Congestion Control with Delay Reduction in Mobile Networks

2010 ◽  
Author(s):  
P.K. Guha Thakurta ◽  
Subhansu Bandyopadhyay ◽  
S. Basu ◽  
S. Goswami
Keyword(s):  
Congestion Control ◽  
Mobile Networks ◽  
Delay Reduction ◽  
New Approach

scholarly journals Improving V2X-6G network capacity using a new UAV-based approach in a Cloud/ICN architecture, case Study: VANET network

2021 ◽  
Vol 297 ◽  
pp. 01019
Author(s):  
Abdeslam Houari ◽  
Tomader Mazri
Keyword(s):  
Mobile Networks ◽  
Network Capacity ◽  
Intelligent Environment ◽  
New Approach ◽  
The Road ◽  
Road Users ◽  
Aerial Vehicle ◽  
On The Road

6G of mobile networks plays a crucial role in improving the capacity and enhancing the quality of services of Vehicle-to-Everything (V2X) based networks evolving in an intelligent environment. VANET is a promising project in the intelligent transportation field using V2X communications. The emergence of several 5G and 6G technologies has raised several challenges for scientists and researchers to allow vehicles and road users to enjoy several services while ensuring their safety on the road. Among these technologies, the unmanned aerial vehicle (UAV), which can perform different tasks for road users and vehicle drivers such as data caching, packet relaying and processing. In this article, we present a new approach based on 6G Unmanned Aerial Vehicles (UAV) technology on a vehicular cloud architecture while exploiting the exchange support of information-centric networking (ICN) for the improvement of network capacity.

scholarly journals Early Window Tailoring: A New Approach to Increase the Number of TCP Connections Served

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Marcos Talau ◽  
Mauro Fonseca ◽  
Emilio C. G. Wille
Keyword(s):  
Congestion Control ◽  
Loss Rate ◽  
New Approach ◽  
Window Management ◽  
Multiple Devices ◽  
Congestion Control Mechanism ◽  
Tcp Connections ◽  
Multiple Scenarios ◽  
Very High ◽  
Better Than

In the absence of losses, TCP constantly increases the amount of data sent per instant of time. This behavior leads to problems that affect its performance, especially when multiple devices share the same gateway. Several studies have been done to mitigate such problems, but many of them require TCP side changes or a meticulous configuration. Some studies have shown promise, such as the use of gateway techniques to change the receiver’s advertised window of ACK segments based on the amount of memory in the gateway; in this work, we use the term “network-return” to refer to these techniques. In this paper, we present a new network-return technique called early window tailoring (EWT). For its use, it does not require any modification in the TCP implementations at the sides and does not require that all routers in the path use the same congestion control mechanism, and the use in the gateway is sufficient. With the use of the simulator ns-3 and following the recommendations of RFC 7928, the new approach was tested in multiple scenarios. The EWT was compared to drop-tail, RED, ARED, and the two network-return techniques—explicit window adaptation (EWA) and active window management (AWM). In the results, it was observed that EWT was shown to be efficient in congestion control. Its use avoided losses of segments, bringing expressive gains in the transfer latency and goodput and maintaining fairness between the flows. However, unlike other approaches, the most prominent feature of EWT is its ability to maintain a very high number of active flows at a given level of segment loss rate. The EWT allowed the existence of a number of flows, which is on average 49.3% better than its best competitor and 75.8% better when no AQM scheme was used.

scholarly journals Congestion Control and Traffic Scheduling for Collaborative Crowdsourcing in SDN Enabled Mobile Wireless Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Dawei Shen ◽  
Wei Yan ◽  
Yuhuai Peng ◽  
Yanhua Fu ◽  
Qingxu Deng
Keyword(s):  
Wireless Networks ◽  
Load Balancing ◽  
Congestion Control ◽  
Communication Networks ◽  
Mobile Networks ◽  
Scheduling Algorithm ◽  
Mobile Wireless Networks ◽  
Traffic Scheduling ◽  
Mobile Wireless ◽  
Artificial Fish Swarm Algorithm

Currently, a number of crowdsourcing-based mobile applications have been implemented in mobile networks and Internet of Things (IoT), targeted at real-time services and recommendation. The frequent information exchanges and data transmissions in collaborative crowdsourcing are heavily injected into the current communication networks, which poses great challenges for Mobile Wireless Networks (MWN). This paper focuses on the traffic scheduling and load balancing problem in software-defined MWN and designs a hybrid routing forwarding scheme as well as a congestion control algorithm to achieve the feasible solution. The traffic scheduling algorithm first sorts the tasks in an ascending order depending on the amount of tasks and then solves it using a greedy scheme. In the proposed congestion control scheme, the traffic assignment is first transformed into a multiknapsack problem, and then the Artificial Fish Swarm Algorithm (AFSA) is utilized to solve this problem. Numerical results on practical network topology reveal that, compared with the traditional schemes, the proposed congestion control and traffic scheduling schemes can achieve load balancing, reduce the probability of network congestion, and improve the network throughput.

scholarly journals A New Approach on Cluster based Call Scheduling for Mobile Networks

2012 ◽  
Vol 3 (3) ◽  
Author(s):  
P. K. Guha Thakurta ◽  
Saikat Basu ◽  
Sayan Goswami ◽  
Subhansu Bandyopadhyay
Keyword(s):  
Mobile Networks ◽  
New Approach

TCP-GT: A new approach to congestion control based on goodput and throughput

2010 ◽  
Vol 12 (5) ◽  
pp. 499-509 ◽  
Author(s):  
Hyungsoo Jung ◽  
Shin-Gyu Kim ◽  
Heon Young Yeom ◽  
Sooyong Kang
Keyword(s):  
Congestion Control ◽  
New Approach

TCP-Cherry: A new approach for TCP congestion control over satellite IP networks

2008 ◽  
Vol 31 (10) ◽  
pp. 2541-2561 ◽  
Author(s):  
Satoshi Utsumi ◽  
Salahuddin Muhammad Salim Zabir ◽  
Norio Shiratori
Keyword(s):  
Congestion Control ◽  
Ip Networks ◽  
New Approach ◽  
Tcp Congestion Control
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