Design of feedback controller for TCP/AQM networks

Bisoy, Sukant Kishoro; Pattnaik, Prasant Kumar

doi:10.1016/j.jestch.2016.10.002

Cited by 37 publications

(18 citation statements)

References 31 publications

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“…In another work [39], the researchers are designed a robust controller (fractional PID) to control the congestion of TCP/AQM networks in a time-varying parameter, the proposed design has given good management to congestion of networks such as a stable queue length and less packet drop probability. SK Bisoy and PK Pattnaik in [40] proposed a new AQM by a novel-PD-type feedback controller to regulate the queue length with tiny oscillation. In [41] the authors proposed FPI controller with GA as tuning of those controller parameters to manage the congestion of TCP networks.…”

Section:  Issn: 2088-8708mentioning

confidence: 99%

Proportional-integral genetic algorithm controller for stability of TCP network

Sulttan

Jaber

Shneen

2020

IJECE

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The life development and increase the number of internet users imposed an increase in data circulating on the internet network and then make the network more congestion. As a result of all this, some problems arose such as time delay in packets delivery, loss of packets, and exceed the buffer capacity for the middle routers. To overcome those problems, transmission control protocol and active queue management (TCP/AQM) have been used. AQM is the main approach used to control congestion and overcome those problems to improve network performance. This work proposes to use the proportional-integral (PI) controller with a genetic algorithm (GA) as an active queue manager for routers of the Internet. The simulation results show a good performance for managing the congestion with using proportional-integral genetic algorithm (GA-PI) controller better than the PI controller.

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Section:  Issn: 2088-8708mentioning

confidence: 99%

Proportional-integral genetic algorithm controller for stability of TCP network

Sulttan

Jaber

Shneen

2020

IJECE

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“…In order to boost the traffic level in the network, the receiver has to intimate the sender to immediately increase the data traffic generation rate in the network based on the rwnd value. e rwnd value is in the range of 101 to 120, and once the sender receives the rwnd value, it does further computation to increase (19) if ((current_time − last_time) > targetperiod) or (counter > targetcounter) then (20) datarate � totaldata/totaldelay (21) currentpercentage � (datarate/datarate max ) × 100% 22Diffpercentage � 100% − currentpercentage (23) if Diffpercentage ≥ limit high then (24) rwnd � (Diffpercentage − limit low ) (25) else if (Diffpercentage ≥ limit low ) then (26) rwnd � (Diffpercentage − limit low ) × (Diffpercentage − limit low /limit high − limit low ) (27) else if (Diffpercentage ≤ lowest) then (28) rwnd � (lowest − Diffpercentage) + 100 (29) end if (30) Avoiding aggressive reduction in congestion window size (31) if ((current_time − last_time) < targetperiod) and (rwnd < 100) then (32) if rwnd > oldrwnd then (33) rwnd � rwnd − oldrwnd (34) oldrwnd � rwnd (35) else (36) oldrwnd � rwnd (37) end if (38) else (39) oldrwnd � 0 (40) end if (41) last_time � current_time (42) totaldata � totaldelay � counter � 0 (43) end if (44) end procedure ALGORITHM 1: Network congestion estimation at the receiver side.…”

Section: Network Congestion Estimation At Receiver Sidementioning

confidence: 99%

“…e active queue management (AQM) technique in the router is the promising solution for congestion avoidance, and it is an intelligent way of indicating to the source node (user) to reduce the traffic generation rate either by dropping or marking the packets in router queue before it gets filled up, due to congestion in the network [32]. e queue scheduler uses various algorithms such as random early detection (RED) [33], explicit congestion notification (ECN) [34], and random exponential marking in order to avoid more number of packet losses from the queue.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Receiver-Window Adjustment for Delay Reduction in LTE Networks

Adesh

Renuka

2019

Journal of Computer Networks and Communications

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The cellular network keeps the vast capacity of queue space at eNodeBs (base stations) to reduce the queue overflow during the burst in data traffic. However, this adversely affects the delay sensitive applications and user quality of experience. Recently, few researchers have focused on reducing the packet delay, but it has a negative impact on the utilization of network resource by the users. Further, it fails to maintain fairness among the users, when competing for a shared resource in coexistence with conventional TCP or UDP users. Therefore, in this paper, the adaptive receiver-window adjustment (ARWA) algorithm is proposed to efficiently utilize the network resources and ensure fairness among the users in resource competitive environment, which requires slight modification of TCP at both the sender and receiver. The proposed mechanism dynamically varies the receiver window size based on the data rate and delay information of the packets, to enhance the performance of the system. Based on extensive experiments, the results illustrate that the ARWA algorithm reduces the delay of TCP packet and increases fairness among the users. In addition to that, it enhances the packet delivery fraction (PDF) and maintains the throughput of the system. Moreover, it competes with other conventional TCP users for the shared network resources in a fair manner.

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“…A proportional-differential-type feedback controller called Novel-PD was proposed by Bisoy et al [31], as new active queue management (AQM) to adjust the queue length with small oscillation. It also regulates the packet drop probability dynamically by using the measured current queue length and the differential error signals.…”

Section: Previous Workmentioning

confidence: 99%

RED with Reconfigurable Maximum Dropping Probability

Al-Allaf¹,

Jabbar²

2019

IJCDS

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The continued demand for improved quality of service for the Internet network is an incentive to find new methods and means to reduce the impact of congestion on the network. The Random Early Detection (RED) algorithm is one of the commonly used algorithms in Internet routers to reduce the problem of congestion. However, network performance and QoS cannot be improved based on fixed and predefined parameters in RED algorithms. Therefore, many researchers have looked to use the adjustment approach (adaptation methods) which does not depend on determining the level of congestion on predefined assumptions. In this paper, an improved RED algorithm for multimedia traffic is proposed by using reconfigurable approach to redefining one of the RED parameters, maximum dropping probability (max p), with changing the traffic over the network. The proposed algorithm, named as "RED with Reconfigurable Maximum Dropping Probability (RRMDP)", aims to reduce the average queue size and then queuing delay time without sacrificing in the packet dropping rate and link utilization. OPNET simulation is offered to support the idea. The result of the simulation shows a significant improvement in the average queue size and queuing delay comparing to the RED and ARED algorithms.

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Design of feedback controller for TCP/AQM networks

Cited by 37 publications

References 31 publications

Proportional-integral genetic algorithm controller for stability of TCP network

Proportional-integral genetic algorithm controller for stability of TCP network

Adaptive Receiver-Window Adjustment for Delay Reduction in LTE Networks

RED with Reconfigurable Maximum Dropping Probability

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