scholarly journals Fair Stateless Aggregate Traffic Marking Using Active Queue Management Techniques

2002 ◽  
pp. 211-223 ◽  
Author(s):  
A. Das ◽  
D. Dutta ◽  
A. Helmy
Keyword(s):  
Active Queue Management ◽  
Queue Management ◽  
Management Techniques

scholarly journals Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions

2019 ◽  
Vol 9 (1) ◽  
pp. 359 ◽  
Author(s):  
Okokpujie Kennedy ◽  
Emmanuel Chukwu ◽  
Olamilekan Shobayo ◽  
Etinosa Noma-Osaghae ◽  
Imhade Okokpujie ◽  
...  
Keyword(s):  
Wireless Network ◽  
Transmission Control Protocol ◽  
Active Queue Management ◽  
Propagation Delay ◽  
Queue Management ◽  
Link Capacity ◽  
Congestion Control Algorithm ◽  
Fixed Parameter ◽  
Self Tuning ◽  
Management Techniques

This paper demonstrates the robustness of active queue management techniques to varying load, link capacity and propagation delay in a wireless environment. The performances of four standard   controllers used in Transmission Control Protocol/Active Queue Management (TCP/AQM) systems were compared. The active queue management controllers were the Fixed-Parameter Proportional Integral (PI), Random Early Detection (RED), Self-Tuning Regulator (STR) and the Model Predictive Control (MPC). The robustness of the congestion control algorithm of each technique was documented by simulating the varying conditions using MATLAB® and Simulink® software. From the results obtained, the MPC controller gives the best result in terms of response time and controllability in a wireless network with varying link capacity and propagation delay. Thus, the MPC controller is the best bet when adaptive algorithms are to be employed in a wireless network environment. The MPC controller can also be recommended for heterogeneous networks where the network load cannot be estimated.

scholarly journals Active Queue Management Techniques for Congestion Control in TCP Communication Networks: New Prospective

2020 ◽  
Vol 9 (2S5) ◽  
pp. 73-77
Keyword(s):  
Communication Networks ◽  
Bandwidth Allocation ◽  
Network Performance ◽  
Computer Network ◽  
Active Queue Management ◽  
Traffic Load ◽  
Queue Management ◽  
Queuing Delay ◽  
Management Techniques ◽  
Overall Performance

the computer network area has grown very fast from previous years, as a result of which the control of traffic load in the network is at a higher priority. In network, congestion occurs if numbers of coming packets exceed, like bandwidth allocation along with buffer space. This might be due to poor network performance in terms of throughput, packet loss rate, and average packet queuing delay. For enhancing the overall performance when this network will become congested, numerous exclusive aqm (active queue management) techniques were proposed and few are discussed in this research paper. Particularly, aqm strategies are analyzed in detail as well as their obstacles along with strengths are emphasized. There are several algorithms which are under the aqm like ared, fred, choke, red (random early detection), blue, stochastic fair blue (sfb), random exponential marking (rem), svb, raq, etc.

scholarly journals Comparison between Different Queue Management Techniques in Mobile Ad-Hoc Network: A Survey

2018 ◽  
Vol 7 (2.6) ◽  
pp. 182
Author(s):  
Prabhat Kumar Sahu ◽  
Susrita Mahapatro ◽  
Pradeep Kumar Dash
Keyword(s):  
Quality Of Service ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Active Queue Management ◽  
Management Technique ◽  
Queue Management ◽  
Management Techniques ◽  
Mobile Ad Hoc

The world is running in a lightning speed with the rapid up gradation of technology. In fraction of second human civilization experiences a unique set of technologies and for this human sentiment started to demand better quality of service in almost all the areas which provides ease to it by minimizing human work efforts. Communication becomes an integral part of this rapidly changing technology.  From the introduction of internet, the taste and preferences of virtual communication has been changed. A new technology called as Mobile Ad Hoc Network (MANet) is also getting its popularity due to its infrastructure less and mobility property. The rapid increase in demand for use of MANets tends it to further development to provide better quality of service. However Congestion in these networks creates a challenge to achieve desired Quality of Service. Different Queue Management techniques such as Passive and Active Queue management techniques are used to minimize the congestion in these networks which uses the concept of managing the buffers though algorithms. The Passive Queue Management technique Droptail, in the introduction stage, somehow manages to increase its efficiency. However in later stage, when data traffic increases, due to global synchronization problem many other algorithms including active queue management techniques such as RED and variants, REM have been developed to increase the efficiency by decreasing the congestion. The concepts even travel from congestion control to congestion avoidance. In this paper we have taken into account different passive and active queue management techniques and compared them based on our literature review to find out the best among them by considering different situations.

scholarly journals A Simple Mechanism for Throttling High-Bandwidth Flows

2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
Chia-Wei Chang ◽  
Bill Lin
Keyword(s):  
Active Queue Management ◽  
Low Complexity ◽  
Queue Management ◽  
Packet Dropping ◽  
Rate Estimation ◽  
Simple Mechanism ◽  
High Bandwidth ◽  
Heavy Hitter ◽  
Management Techniques

This letter presents BREATHe, a simple packet dropping scheme for identifying and throttling unresponsive or misbehaving high-bandwidth flows during times of congestion. BREATHe is different from the existing active queue management techniques in that it uses heavy-hitter set analysis to identify highbandwidth flows rather than sampling or rate estimation. Specifically, BREATHe uses heavy-hitter set analysis to detect highbandwidth flows that exceed some target rate and preferentially drop packets from these flows. We show that the proposed mechanism is effective at throttling high-bandwidth flows using a small amount of state and low-complexity operation.

scholarly journals A hybrid active queue management technique for QoS based unicasting protocols in MANETs

2018 ◽  
Vol 7 (2.6) ◽  
pp. 58
Author(s):  
Susrita Mahapatro ◽  
Prabhat Kumar sahu ◽  
Pradeep Kumar Dash
Keyword(s):  
Routing Protocols ◽  
Ad Hoc ◽  
Hybrid Approach ◽  
Active Queue Management ◽  
Management Approach ◽  
Queue Management ◽  
Mobile Nodes ◽  
On Demand ◽  
Management Techniques ◽  
Distance Vector

Mobile Ad hoc Networks (MANETs) is the interconnection of several self-energy dependent mobile nodes. It is one of the self-configured and infrastructure less network. In MANET the issues are security, Quality Of Services, Congestion etc. The major issue of MANET is to control the congestion. Congestion means the network capacity is larger than the no of packets transmitted across the network.  In this paper, an effort has been made to evaluate and analyze the performance of the network by means of comparing two on-demand reactive routing protocols such as AODV [Ad-hoc On-demand Distance Vector] and DSR [Dynamic Source Routing] with each other along with also by comparing with DSDV [Destination Sequenced Distance Vector], which is a proactive routing protocol. The comparison is also being made under the light of two queue management techniques such as RED (Random Early Detection) and Droptail. A gateway discovery algorithm is being used by both AODV and DSR routing protocols, which uses the mechanism of connecting mobile nodes through gateway, however Bellman-Ford algorithm is being used by DSDV which uses the concept of including freedom from loops in the routing table. By means of simulation through NS-2 network simulator by varying the number of nodes, we observe that the performance differentials of AODV, DSR, and DSDV routing protocols are directed to foremost performance differentials to guarantee QoS for both of these protocols in RED and Droptail queue management techniques. There is a lot of queue management approach to minimize the congestion rate and transfer the data successfully to the destination. Two queue management techniques popularly used to manage queues in MANets are Active queue management and Passive queue management. Active queue management is widely used and RED is the most popular approach which gives low average delay, high throughput and lower packet drop rate. But RED algorithms have some drawback. So here we are using a hybrid approach, named as MRED by means of combining the features of both RED and ECN to overcome the drawbacks of RED.

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