An Enhanced Queue Management Scheme for Eradicating Congestion of TFRC over Wired Environment

2017 ◽  
Vol 7 (3) ◽  
pp. 1347 ◽  
Author(s):  
N. Ramanjaneya Reddy ◽  
Chenna Reddy Pakanati ◽  
M. Padmavathamma
Keyword(s):  
Real Time ◽  
Rate Control ◽  
Multimedia Streaming ◽  
Transport Layer ◽  
Queue Management ◽  
Control Mechanisms ◽  
Huge Amount ◽  
Management Algorithm ◽  
Management Scheme ◽  
Time Requirements

<p class="Abstract">To accomplish increasing real time requirements, user applications have to send different kinds of data with different speeds over the internet.  To effectuate the aims of the computer networks, several protocols have been added to TCP/IP protocol suite.  Transport layer has to implement emerging techniques to transfer huge amount of data like multimedia streaming. To transmit multimedia applications, one of the suitable congestion control mechanisms in transport layer is TCP Friendly Rate Control Protocol (TFRC).  It controls congestion based on its equation. To get more smoothed throughput, intermediate nodes (like Routers. etc.) have to use suitable procedures in all real time situations. To eradicate the level of congestion in the network, we introduce enhanced Holt-Winters equations to RED queue management algorithm and applied to TFRC. The simulation results have shown that this strategy reduces packet loss and increases throughput.</p>

Autonomous framework simulation tools for real-time multimedia streaming over wireless ad-hoc networks

SIMULATION ◽  
2019 ◽  
Vol 96 (2) ◽  
pp. 185-197
Author(s):  
Adel A Ahmed ◽  
Omar Barukab
Keyword(s):  
Real Time ◽  
Wireless Network ◽  
Multimedia Streaming ◽  
Transport Layer ◽  
Simulation Tool ◽  
Simulation Tools ◽  
Streaming Applications ◽  
Network Technologies ◽  
Transport Layer Protocols

Real-time video communication has become one of the most significant applications extensively used by homogeneous/heterogeneous wireless network technologies, such as Wi-Fi, the Internet of things, the wireless sensor network (WSN), 5G, etc. This leads to enhanced deployment of multimedia streaming applications over wireless network technologies. In order to accomplish the optimal performance of real-time multimedia streaming applications over the homogeneous/heterogeneous wireless network, it is therefore necessary to develop a simulation tool-set that effectively measures the quality of service (QoS) for different multimedia streaming applications over transport layer protocols. This paper proposes an autonomous simulation tool (AST) that is entirely independent from the source code of transport layer protocols. Furthermore, the AST is integrated into NS-2 to evaluate the QoS of real-time video streaming over numerous transport layer protocols and it uses new QoS measurement tools to test the video delivery quality based on I-frames to speeds up the assessment of multimedia streaming quality and ensure high accuracy of performance metrics. The simulation results show that using the AST to simulate real-time multimedia stream results in between 13% and 36% higher delivery ratio and 150–250% less cumulative jitter delay compared with using baseline simulation tools. Also, the AST guarantees an optimal QoS performance measurements in terms of the peak signal-to-noise Ratio and visual quality of the received video.

P-Persistent Queue Management to Overcome Channel Failures in IEEE 802.11 Networks for Real-Time Multimedia Streaming

2013 ◽  
pp. 69-79 ◽  
Author(s):  
Andrey Guschin ◽  
Evgeny Khorov ◽  
Anton Kiryanov ◽  
Andrey Lyakhov ◽  
Alexander Safonov
Keyword(s):  
Real Time ◽  
Ieee 802.11 ◽  
Multimedia Streaming ◽  
Queue Management ◽  
802.11 Networks ◽  
Ieee 802.11 Networks

scholarly journals SQM-LRU: A Harmony Dual-Queue Management Algorithm to Control Non-Responsive LTF Flow and Achieve Service Differentiation

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3568
Author(s):  
Penghui Li ◽  
Xianliang Jiang ◽  
Jiahua Zhu ◽  
Guang Jin
Keyword(s):  
Service Differentiation ◽  
Queue Management ◽  
Area Network ◽  
Wide Area Network ◽  
Network Applications ◽  
Management Algorithm ◽  
Delay Jitter ◽  
Management Scheme ◽  
Essential Components ◽  
Flow Detection

The increase in network applications diversity and different service quality requirements lead to service differentiation, making it more important than ever. In Wide Area Network (WAN), the non-responsive Long-Term Fast (LTF) flows are the main contributors to network congestion. Therefore, detecting and suppressing non-responsive LTF flows represent one of the key points for providing data transmission with controllable delay and service differentiation. However, the existing single-queue management algorithms are designed to serve only a small number of applications with similar requirements (low latency, high throughput, etc.). The lack of mechanisms to distinguish different traffic makes it difficult to implement differentiated services. This paper proposes an active queue management scheme, namely, SQM-LRU, which realizes service differentiation based on Shadow Queue (SQ) and improved Least-Recently-Used (LRU) strategy. The algorithm consists of three essential components: First, the flow detection module is based on the SQ and improved LRU. This module is used to detect non-responsive LTF flows. Second, different flows will be put into corresponding high or low priority sub-queues depending on the flow detection results. Third, the dual-queue adopts CoDel and RED, respectively, to manage packets. SQM-LRU intends to satisfy the stringent delay requirements of responsive flow while maximizing the throughput of non-responsive LTF flow. Our simulation results show that SQM-LRU outperforms traditional solutions with significant improvement in flow detection and reduces the delay, jitter, and Flow Completion Time (FCT) of responsive flow. As a result, it reduced the FCT by up to 50% and attained 95% of the link utilization. Additionally, the low overhead and the operations incur O(1) cost per packet, making it practical for the real network.

scholarly journals Performance Enhancement of TCP Friendly Rate Control Protocol over Wired networks

2016 ◽  
Vol 6 (6) ◽  
pp. 2949
Author(s):  
N. Ramanjaneya Reddy ◽  
Chenna Reddy Pakanati ◽  
M. Padmavathamma
Keyword(s):  
Congestion Control ◽  
Rate Control ◽  
Performance Enhancement ◽  
Multimedia Applications ◽  
Transport Layer ◽  
Control Mechanisms ◽  
Control Protocol ◽  
Wired Networks ◽  
Tcp Friendly ◽  
Transport Layer Protocol

<p>One of the main aims of transport layer protocol is achieving best throughput without any congestion or reduced congestion.  With rapid growing application needs and with increasing number of networks in Internet, there is a primary need to design new protocols to transport layer.  To transmit multimedia applications, one of the suitable congestion control mechanisms in transport layer is TCP Friendly Rate Control Protocol (TFRC).  It controls congestion based on its equation. However, every packet requires an acknowledgement in TFRC. It creates congestion in the network when the transmitted data is very large, which results in reduced throughput. This paper aims to increase the throughput when the transmitted data is large with minimal congestion by reducing the number of acknowledgements in the network.  We modified some fixed parameters in the TFRC equation. The results show the increased throughput with minimal congestion.</p>

Performance Enhancement of TCP Friendly Rate Control Protocol over Wired networks

2016 ◽  
Vol 6 (6) ◽  
pp. 2949 ◽  
Author(s):  
N. Ramanjaneya Reddy ◽  
Chenna Reddy Pakanati ◽  
M. Padmavathamma
Keyword(s):  
Congestion Control ◽  
Rate Control ◽  
Performance Enhancement ◽  
Multimedia Applications ◽  
Transport Layer ◽  
Control Mechanisms ◽  
Control Protocol ◽  
Wired Networks ◽  
Tcp Friendly ◽  
Transport Layer Protocol

<p>One of the main aims of transport layer protocol is achieving best throughput without any congestion or reduced congestion.  With rapid growing application needs and with increasing number of networks in Internet, there is a primary need to design new protocols to transport layer.  To transmit multimedia applications, one of the suitable congestion control mechanisms in transport layer is TCP Friendly Rate Control Protocol (TFRC).  It controls congestion based on its equation. However, every packet requires an acknowledgement in TFRC. It creates congestion in the network when the transmitted data is very large, which results in reduced throughput. This paper aims to increase the throughput when the transmitted data is large with minimal congestion by reducing the number of acknowledgements in the network.  We modified some fixed parameters in the TFRC equation. The results show the increased throughput with minimal congestion.</p>

scholarly journals Intelligent Active Queue Management Using Explicit Congestion Notification

2019 ◽  
Author(s):  
Cesar A. Gomez ◽  
Xianbin Wang ◽  
Abdallah Shami
Keyword(s):  
Congestion Control ◽  
Active Queue Management ◽  
Transport Layer ◽  
Machine Learning Techniques ◽  
Queue Management ◽  
Control Mechanisms ◽  
Network Layer ◽  
Explicit Congestion Notification ◽  
Buffer Control ◽  
The Right

As more end devices are getting connected, the Internet will become more congested. A variety of congestion control techniques have been developed either on transport or network layers. Active Queue Management (AQM) is a paradigm that aims at mitigating the congestion on the network layer by active buffer control to avoid overflow. However, finding the right parameters for an AQM scheme is challenging, due to the complexity and dynamics of the networks. On the other hand, the Explicit Congestion Notification (ECN) mechanism is a solution that makes visible incipient congestion on the network layer to the transport layer. In this work, we propose to exploit the ECN information to improve AQM algorithms by applying Machine Learning techniques. Our intelligent method uses an artificial neural network to predict congestion and an AQM parameter tuner based on reinforcement learning. The evaluation results show that our solution can enhance the performance of deployed AQM, using the existing TCP congestion control mechanisms.

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