scholarly journals Two-Level Congestion Control Mechanism (2LCCM) for Information-Centric Networking

2021 ◽  
Vol 13 (6) ◽  
pp. 149
Author(s):  
Yaqin Song ◽  
Hong Ni ◽  
Xiaoyong Zhu
Keyword(s):  
Congestion Control ◽  
Data Transmission ◽  
Network Architecture ◽  
Control Algorithm ◽  
Control Mechanism ◽  
Transmission Rate ◽  
Control Mechanisms ◽  
Information Centric Networking ◽  
Congestion Control Algorithm ◽  
Congestion Control Mechanism

As an emerging network architecture, Information-Centric Networking (ICN) is considered to have the potential to meet the new requirements of the Fifth Generation (5G) networks. ICN uses a name decoupled from location to identify content, supports the in-network caching technology, and adopts a receiver-driven model for data transmission. Existing ICN congestion control mechanisms usually first select a nearby replica by opportunistic cache-hits and then insist on adjusting the transmission rate regardless of the congestion state, which cannot fully utilize the characteristics of ICN to improve the performance of data transmission. To solve this problem, this paper proposes a two-level congestion control mechanism, called 2LCCM. It switches the replica location based on a node state table to avoid congestion paths when heavy congestion happens. This 2LCCM mechanism also uses a receiver-driven congestion control algorithm to adjust the request sending rate, in order to avoid link congestion under light congestion. In this paper, the design and implementation of the proposed mechanism are described in detail, and the experimental results show that 2LCCM can effectively reduce the transmission delay when heavy congestion occurs, and the bandwidth-delay product-based congestion control algorithm has better transmission performance compared with a loss-based algorithm.

A Cross-Layer Congestion Control Algorithm Based on Traffic Prediction in Wireless Sensor Networks

2013 ◽  
Vol 397-400 ◽  
pp. 2641-2646 ◽  
Author(s):  
Yi Sun ◽  
Min Li ◽  
Peng Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Control Algorithm ◽  
Control Mechanism ◽  
Wireless Sensor ◽  
Traffic Prediction ◽  
Cross Layer ◽  
Congestion Control Algorithm ◽  
Congestion Control Mechanism

Congestion in wireless sensor networks can affect the networks performance seriously,not only it has impact on data transmission and the quality of service, but also wastes energy and shortens the network lifetime. Aiming at this issue, this paper proposed a cross-layer congestion control algorithm based on traffic prediction (CCATP), it can take congestion mitigation measures in advance according to the prediction result. CCATP comprises three mechanisms: (i) congestion prediction; (ii) local congestion control mechanism based on backoff time adjustment; (iii) transmission route selection based global congestion control mechanism; Simulation experiment results show that CCATP can reduce the packet loss number and improve the energy efficiency significantly, so as to effectively improve the service performance of network.

scholarly journals MACRE: a Novel Distributed Congestion Control Algorithm in DTN

2011 ◽  
Vol 1 ◽  
pp. 71-75 ◽  
Author(s):  
Ying An ◽  
Xi Luo
Keyword(s):  
Congestion Control ◽  
Routing Protocols ◽  
Control Algorithm ◽  
Network Performance ◽  
Control Mechanism ◽  
Local Information ◽  
Global Information ◽  
Congestion Control Algorithm ◽  
End To End ◽  
Congestion Control Mechanism

Congestion control is a very important problem which can affect network performance directly. However, owing to the lack of steady end-to-end connection and high latency, the traditional congestion control mechanism based on end-to-end feedback is not feasible in DTN. Because obtaining the global information of network is difficult, the congestion control decisions should be made autonomously with local information only. We propose a novel distributed congestion control algorithm based on epidemic routing protocols----MACRE (Message Admission Control based on Rate Estimation). Preliminary experimental results show that this congestion control mechanism can improve the network performance efficiently.

scholarly journals A Smart Congestion Control Mechanism for the Green IoT Sensor-Enabled Information-Centric Networking

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2889 ◽  
Author(s):  
Rungrot Sukjaimuk ◽  
Quang Nguyen ◽  
Takuro Sato
Keyword(s):  
Congestion Control ◽  
Network Performance ◽  
Control Mechanism ◽  
Real Life ◽  
Future Internet ◽  
Global Scale ◽  
Information Centric Networking ◽  
Internet Architecture ◽  
Content Popularity ◽  
Congestion Control Mechanism

Information-Centric Networking (ICN) is a new Internet architecture design, which is considered as the global-scale Future Internet (FI) paradigm. Though ICN offers considerable benefits over the existing IP-based Internet architecture, its practical deployment in real life still has many challenges, especially in the case of high congestion and limited power in a sensor enabled-network for the Internet of Things (IoT) era. In this paper, we propose a smart congestion control mechanism to diminish the network congestion rate, reduce sensor power consumptions, and enhance the network performance of ICN at the same time to realize a complete green and efficient ICN-based sensor networking model. The proposed network system uses the chunk-by-chunk aggregated packets according to the content popularity to diminish the number of exchanged packets needed for data transmission. We also design the sensor power-based cache management strategy, and an adaptive Markov-based sensor scheduling policy with selective sensing algorithm to further maximize power savings for the sensors. The evaluation results using ndnSIM (a widely-used ICN simulator) show that the proposed model can provide higher network performance efficiency with lower energy consumption for the future Internet by achieving higher throughput with higher cache hit rate and lower Interest packet drop rate as we increase the number of IoT sensors in ICN.

scholarly journals Adaptive Decrease Window for BALIA (ADW-BALIA): Congestion Control Algorithm for Throughput Improvement in Nonshared Bottlenecks

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 294
Author(s):  
Geon-Hwan Kim ◽  
Yeong-Jun Song ◽  
Imtiaz Mahmud ◽  
You-Ze Cho
Keyword(s):  
Congestion Control ◽  
Control Algorithm ◽  
Transmission Control Protocol ◽  
Control Mechanisms ◽  
Congestion Window ◽  
Transmission Control ◽  
Control Protocol ◽  
Congestion Control Algorithm ◽  
Lossy Links ◽  
Single Path

The main design goals of the multipath transmission control protocol (MPTCP) are to improve the throughput and share a common bottleneck link fairly with a single-path transmission control protocol (TCP). The existing MPTCP congestion control algorithms achieve the goal of fairness with single-path TCP flows in a shared bottleneck, but they cannot maximize the throughput in nonshared bottlenecks, where multiple subflows traverse different bottleneck links. This is because the MPTCP is designed not to exceed the throughput of a single-path TCP competing in the bottleneck. Therefore, we believe that MPTCP congestion control should have different congestion window control mechanisms, depending on the bottleneck type. In this paper, we propose an adaptive decrease window (ADW) balanced linked adaptation (BALIA) congestion control algorithm that adaptively adjusts the congestion window decrease in order to achieve better throughput in nonshared bottlenecks while maintaining fairness with the single-path TCP flows in shared bottlenecks. The ADW-BALIA algorithm detects shared and nonshared bottlenecks based on delay fluctuations and it uses different congestion window decrease methods for the two types of bottleneck. When the delay fluctuations of the MPTCP subflows are similar, the ADW-BALIA algorithm behaves the same as the existing BALIA congestion control algorithm. If the delay fluctuations are dissimilar, then the ADW-BALIA algorithm adaptively modulates the congestion window reduction. We implement the ADW-BALIA algorithm in the Linux kernel and perform an emulation experiment that is based on various topologies. ADW-BALIA improves the aggregate MPTCP throughput by 20% in the nonshared bottleneck scenario, while maintaining fairness with the single-path TCP in the shared bottleneck scenario. Even in a triple bottleneck topology, where both types of bottlenecks exist together, the throughput increases significantly. We confirmed that the ADW-BALIA algorithm works stably for different delay paths, in competition with CUBIC flows, and with lossy links.

Research of Hybrid Congestion Control Mechanism

2012 ◽  
Vol 426 ◽  
pp. 275-278
Author(s):  
Cheng Yu Lai ◽  
Xiao Guang Fu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Energy Saving ◽  
Control Mechanism ◽  
Wireless Sensor ◽  
Forward Rate ◽  
Control Mechanisms ◽  
Channel Quality ◽  
Congestion Control Mechanism

In wireless sensor networks, congestion causes overall channel quality to degrade and loss rates to raise, leads to buffer drops and increased delays, and tends to be grossly unfair toward nodes whose data has to traverse a larger number of radio hops. Hybrid congestion control mechanisms relieve the congestion by creating the new path; when establishment of a new path is failed, fairness aggregate mechanisms limits forward rate, ensures that each source node sends data fairly. Based on energy-saving, algorithms for mild congestion have been improved.

Research on TCP Congestion Control Mechanisms

2014 ◽  
Vol 989-994 ◽  
pp. 4427-4431
Author(s):  
Shu Guang Zhang ◽  
Qiao Yun Sun ◽  
Qing Hua Gao ◽  
Min Wang ◽  
Yu Zhang
Keyword(s):  
Congestion Control ◽  
Information Society ◽  
Control Algorithm ◽  
Rapid Development ◽  
Sliding Window ◽  
Research Field ◽  
The Internet ◽  
Control Mechanisms ◽  
Fast Recovery ◽  
Congestion Control Algorithm

With the rapid development of information society, the number of information data transmitting in the Internet is growing quickly, so congestion control becomes very important and it is a hot research field on the Internet now. In this paper, the sliding window, reasons and TCP algorithms of congestion control such as slow start, congestion avoidance, fast retransmit and fast recovery are discussed. Different TCP versions about congestion control are studied and analyzed. As a result, improvements on the congestion control algorithm and the research is still an important topic in the study of Internet congestion control.

Congestion Control in Data Center Networks: A Survey and New Perspectives

2013 ◽  
Vol 462-463 ◽  
pp. 1028-1035
Author(s):  
Hang Xing Wu ◽  
Xiao Long Yang ◽  
Min Zhang
Keyword(s):  
Congestion Control ◽  
Data Center ◽  
Data Centers ◽  
Web Applications ◽  
Control Mechanism ◽  
Control Mechanisms ◽  
Data Center Networks ◽  
Huge Amount ◽  
Advantages And Disadvantages ◽  
Congestion Control Mechanism

Nowadays data centers have been becoming increasingly important for various web applications, huge amount of cost is invested to maintain good performance of data center. Whereas some studies indicated that TCP Incast phenomenon was widely observed in most of data centers, which results in congestion in data centers and damages the performance of data center greatly. Thus some congestion control mechanisms for data center have been proposed to solve the problems. These mechanisms are categorized and described in this paper, and the advantages and disadvantages of these mechanisms are analyzed. Subsequently, some new interesting topics which may be worthy of further study in congestion control mechanism on data center are presented.

scholarly journals An Improved Adaptive CoAP Congestion Control Algorithm

2019 ◽  
Vol 15 (03) ◽  
pp. 96 ◽  
Author(s):  
Fathia Ouakasse ◽  
Said Rakrak
Keyword(s):  
Congestion Control ◽  
Control Algorithm ◽  
Network Resources ◽  
Analysis And Evaluation ◽  
Trip Time ◽  
Time Out ◽  
Congestion Control Algorithm ◽  
Network Operation ◽  
Congestion Control Mechanism ◽  
Do So

<p class="0abstract"><span lang="EN-US">The Constrained Application Protocol (CoAP) is one of the most emerging messaging protocols that have successfully fulfilled the need of the lightweight feature required to handle communication between constrained devices in IoT environment. However, these devices are generating a huge amount of messages and notifications which cause the network congestion. Then, the challenge addressed in this paper; consists of designing a suitable congestion control mechanism for CoAP that ensures a safe network operation while keeping the use of network resources efficient. To do so, this paper presents an improved congestion control algorithm for the estimation of a Retransmission Time Out (RTO) value to use in each transaction based on the packet loss ratio and the Round-Trip Time RTT of the previous transmission. A comprehensive analysis and evaluation of simulated results show that the proposed mechanism can appropriately achieve higher performance compared to the basic CoAP congestion control and alternative algorithms based on TCP.</span></p>

An Analysis to Improve Congestion Algorithm of TCP

2010 ◽  
Vol 171-172 ◽  
pp. 756-759
Author(s):  
Kun Shang ◽  
Zhi Hua Zhai
Keyword(s):  
Congestion Control ◽  
Data Transmission ◽  
Control Algorithm ◽  
Round Trip Time ◽  
Round Trip ◽  
Trip Time ◽  
Congestion Control Algorithm ◽  
End To End

Congestion is an important issue in the research of end-to-end congestion control. The congestion issue in transmission with TCP is studied. Under the situation of different round trip time and multiple congested gateways, ECC (Explicit Congestion Control) algorithm is proposed to solve the congestion problem of TCP. The basic idea is to explicitly improve Congestion by adding mechanism at both end systems and gateways. Then study the tile congestion of Internet data transmission. Internet data transmission relies on end system mechanisms to keep Congestion. As the number of the users has been very large, this scheme has become vulnerable. It is required to deploy some congestion mechanism at gateways.

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