Analysis of TCP's micro level behaviour in wireless multi-hop environment

Shivaranjani, M.; Shanju, R.; Jude, M. Joseph Auxilius; Diniesh, V. C.

doi:10.1109/iccci.2016.7480006

Cited by 4 publications

(5 citation statements)

References 15 publications

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“…Problem (1) can be readily solved by the NUM paradigm; e.g., a number of queue-length based NUM solutions were available in [7], [32], [33]. On the other hand, plenty of heuristics based TCP enhancements for such a last-hop wireless network were proposed [12], [34], [35]. As will be elaborated, there exists a significant gap between those solutions and desired optimal schemes for mobile TCP applications.…”

Section: Preliminariesmentioning

confidence: 99%

“…This is different from the gradient-type explicit primaldual solutions in the NUM schemes [32], [33], which are hard to implement by the TCP. On the other hand, different from the heuristic TCP enhancements without analytical performance guarantees [12], [34], [35], we next establish convergence of the proposed QUIC-TCP to optimal equilibrium via a Lyapunov method.…”

Section: Optimal Network Equilibriummentioning

confidence: 99%

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End-to-End TCP Congestion Control for Mobile Applications

2020

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This paper addresses the re-engineering of congestion control for TCP applications over networks with coupled wireless links. Using queueing delay as a congestion measure, we show that optimal TCP congestion control can be achieved by developing window-control oriented implicit primal-dual solvers for intended network utility maximization problem. Capitalizing on such an idea, we prove the existence of scalable, easy-to-deploy, yet optimal end-to-end congestion control schemes for networks with wireless links, given that the wireless access point appropriately schedules packet transmissions. A class of so-called QUIC-TCP congestion control algorithms are developed. Relying on a Lyapunov method, we rigorously establish the global convergence/stability of the proposed QUIC-TCP to optimal equilibrium in the network fluid model. Numerical results corroborate the merits of the proposed schemes in IPv6-based Internet environments. INDEX TERMS Congestion control, wireless-link scheduling, convex optimization, network fluid model, Lyapunov method.

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Section: Preliminariesmentioning

confidence: 99%

Section: Optimal Network Equilibriummentioning

confidence: 99%

End-to-End TCP Congestion Control for Mobile Applications

2020

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“…Fast-paced data transfer over high-speed communication systems is the primary issue raised in long-range and high-bandwidth networks. Transmission Control Protocol (TCP) [1] transmits enormous data traffic globally [2]. Although, TCP provides reliable data transmission over the network at its inception, it was not capable of handling network blockage.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Multistream Fast TCP: Rapid Bandwidth Utilization after Fast-Recovery Phase

Ahmad

Arshad

2019

Applied Sciences

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The purpose of this study is to enhance the performance of Multistream Fast Transmission Control Protocol (TCP) keeping in view the recent web-based applications that are being deployed on long-range, high-speed, and high-bandwidth networks. To achieve the objective of the research study, a congestion control after fast-recovery module for congestion control scheme of Multistream Fast TCP is proposed. The module optimized the performance of the protocol by reducing the time that is required to consume the available bandwidth after a fast-recovery phase. The module is designed after studying additive-increase, multiplicative-decrease and rate-based congestion window management schemes of related transport protocols. The module adjusts the congestion window on receipt of each individual acknowledgment instead of each round trip time after the fast-recovery phase until it consumes vacant bandwidth of the network link. The module is implemented by using Network Simulator 2. Convergence time, throughput, fairness index, and goodput are the parameters used to assess the performance of proposed module. The results indicate that Enhanced Multistream Fast TCP with congestion control after fast recovery recovers its congestion window in a shorter time period as compared to multistream Fast TCP, Fast TCP, TCP New Reno, and Stream Control Transmission Protocol. Consequently, Enhanced Multistream Fast TCP consumes the available network bandwidth in lesser time and increases the throughput and goodput. The proposed module enhanced the performance of the transport layer protocol. Our findings demonstrate the performance impact in the form of a decrease in the convergence time to consume the available network bandwidth and the increase in the throughput and the goodput.

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“…The TCP in its present form remains unsuitable for the wireless network as it considers packet drop as an early symptom of network congestion and falsely reduces the transmission rate that leads to spurious window deflation. The studies [2,3] in the past undoubtedly reveal that spurious window deflation severely worsen TCP's throughput performance under wireless networks.…”

mentioning

confidence: 99%

“…The RASS algorithm computes an acceleration factor (β) from the rwnd (Δ receiver coefficient) to fix the apt IW size. The RASS derives three diverse IW size values based on β, (1), (2) and (3) give Δ, β and IW size computation.…”

mentioning

confidence: 99%

Enhanced window increment and adaptive recovery TCP for multi‐hop wireless networks

Jude¹,

Kuppuswami²

2017

Electron. lett.

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In this Letter, a combined algorithm known as receiver-assisted slow start (RASS) and feedback-assisted recovery (FAR) proposed to address the joint optimisation problems of transmission control protocol (TCP) such as non-optimal initial window (IW) size, slower window growth and spurious window deflation under multi-hop wireless (MHW) networks. The RASS fix the sender's optimum IW size from the receiver's advertised value and replaces the conventional exponential window growth with enhanced window increment mechanism that significantly accelerates the transmission rate. The FAR uses relay router's feedback information to regulate false transmission rate reduction during packet drops. The simulation result reveals that the proposed algorithms had a substantial improvement in throughput and reduction in packet latency over the existing standard New Jersey and non-congestion events algorithms under MHW environment.

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Analysis of TCP's micro level behaviour in wireless multi-hop environment

Cited by 4 publications

References 15 publications

End-to-End TCP Congestion Control for Mobile Applications

End-to-End TCP Congestion Control for Mobile Applications

Enhanced Multistream Fast TCP: Rapid Bandwidth Utilization after Fast-Recovery Phase

Enhanced window increment and adaptive recovery TCP for multi‐hop wireless networks

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