A Multipath Packet Scheduling Approach based on Buffer Acknowledgement for Congestion Control

Kumar, Abhay; Srinivas, P. V. S.; Govardhan, A.

doi:10.1016/j.procs.2020.04.231

Cited by 3 publications

(6 citation statements)

References 23 publications

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“…The traditional butterfly optimization (BO) algorithm imitates the mating behavior as well as the food searing behavior of butterflies 14 . This algorithm is implemented to resolve global optimization problems but due to three major limitations, the performance of the BO algorithm was diminished.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…Kumar et al 14 proposed an effective stream of data packets across several pathways, and the technique used is multipath packet scheduling (MP‐PS). It is made of (MPS) multi‐path packet scheduler that performs path scheduling based on an (MCC) multipath congestion control that regulates congestion control via explicit acknowledgment and the path scheduling delay probability.…”

Section: Literature Surveymentioning

confidence: 99%

“…Furthermore, as compared to the benchmark methods, a packet scheduling technique that operates in conjunction with the rate-controlling technique yields shorter frame delivery latency. Kumar et al 14 proposed an effective stream of data packets across several pathways, and the technique used is multipath packet scheduling (MP-PS). It is made of (MPS) multi-path packet scheduler that performs path scheduling based on an (MCC) multipath congestion control that regulates congestion control via explicit acknowledgment and the path scheduling delay probability.…”

Section: Literature Surveymentioning

confidence: 99%

“…The traditional butterfly optimization (BO) algorithm imitates the mating behavior as well as the food searing behavior of butterflies. 14 This algorithm is implemented to resolve global optimization problems but due to three major limitations, the performance of the BO algorithm was diminished. The limitations are: (a) best butterfly is trapped into local minimum which greatly enhances the risk of premature convergence, (b) improper searching process at certain iteration, and (c) inability to resolve optimization problems using random interaction strategy in complex search domains.…”

Section: Fuzzy Butterfly Optimization (Fbo) Algorithm With Ranking St...mentioning

confidence: 99%

See 3 more Smart Citations

An efficient congestion control in multimedia streaming using adaptive BRR and fuzzy butterfly optimization

Samiayya

Ramasamy²,

Gunasekar

2023

Trans Emerging Tel Tech

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Recently, various video streaming platforms such as YouTube, Netflix and so forth have achieved great growth in the media industry. However, uncertain dynamic activities such as low bandwidth, packet loss and rapid fluctuations, quality, and interrupted flow are still creating several complications in multimedia streaming applications and it is necessary to provide enhanced throughput and minimum frame delivery delay. Therefore, the significant objective of this article is to attain enhanced bandwidth allocation as well as a high packet scheduling rate. In this article, an adaptive BBR technique is proposed for transmitting real‐time video with minimum transmission delay and packet loss. The adaptive BBR mainly uses the pacing gain update mechanism to maintain different flow rates and minimal data in the bottleneck queue. Also, a fuzzy butterfly optimization (FBO) with a ranking strategy is proposed to attain optimal bandwidth allocation. The FBO algorithm with ranking strategy computes the minimal bandwidth needed by the model to satisfy the service requirement of every queue in a particular round. Then, the packet scheduling is done by employing an intelligent time slice‐based round‐robin (ITSBRR) technique. The ITSBRR algorithm is employed to enhance the throughput and end‐to‐end delay by implementing the time quantum‐based scheduling mechanism. Finally, the experimental analysis is carried out for various parameters namely single path transmission delay, packet loss; frame delay is computed for various techniques to compute the efficiency of the proposed system.

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Section: Proposed Methodologymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Section: Fuzzy Butterfly Optimization (Fbo) Algorithm With Ranking St...mentioning

confidence: 99%

See 2 more Smart Citations

An efficient congestion control in multimedia streaming using adaptive BRR and fuzzy butterfly optimization

Samiayya

Ramasamy²,

Gunasekar

2023

Trans Emerging Tel Tech

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“…The simulation shows that the proposed work achieved superior performance in terms of throughput, end-to-end delay, and Goodput. Authors proposed an approach to perform multipath scheduling of packets for controlling the network congestion concerning buffer acknowledgment in [29]. This method consists of two major entities a multi-path-packet scheduler (MPS), and a multipath-congestion controller (MCC) in which the MPS was used to schedule the path based on three delay probabilities such as transmission delay and In-Out delay, and congestion delay.…”

Section: B Congestion Control Schemesmentioning

confidence: 99%

Cross-Layer based TCP Performance Enhancement in IoT Networks

Parween¹,

Hussain²

2022

IJACSA

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Transmission Control Protocol (TCP) used multiple paths for performing transmission of data simultaneously to improve its performance. However, previous TCP protocols in Internet of Things (IoT) networks experienced difficulty to transmit a greater number of subflows. To overcome the above issues, we introduced cross-layer framework to perform efficient packet scheduling and congestion control for increasing the performance of TCP in IoT networks. Initially, the proposed IoT network is constructed based on grid topology using Manhattan distance which improves the scalability and flexibility of the network. After network construction, packet scheduling is performed by considering numerous parameters such as bandwidth, delay, buffer rate, etc., using fitness based proportional fair (FPF) scheduling algorithm and selecting best subflow to reduce the transmission delay. The scheduled subflow is sent over an optimal path to improve the throughput and goodput. After packet scheduling, congestion control in TCP is performed using cooperative constraint approximation 3 + (CoCoA3 + -TCP) algorithm in which three stages are employed namely congestion detection, fast retransmission, and recovery. The congestion detection in TCP-IoT environment is performed by considering several parameters in which cat and mouse-based optimization (CMO) is utilized to adaptively estimate retransmission timeout (RTO) for reducing the delay and improving the convergence during retransmission. Fast retransmission and recovery are performed to improve the network performance by adjusting the congestion window size thereby avoiding congestion. The simulation of cross-layer approach is carried out using network simulator (NS-3.26) and the simulation results show that the proposed work outperforms high TCP performance in terms of throughput, goodput, packet loss, and transmission delay, jitter, and congestion window size.

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Transmission line UAV inspection multi-link data congestion control method

Yuan¹,

He²,

Yao³

et al. 2023

International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022)

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The current UAV inspection multi-link data congestion control method based on link capacity uses a cache queue model to regulate the data throughput at the sending end, which leads to low control performance due to the lack of monitoring of data sending nodes. In this regard, the transmission line UAV inspection multi-link data congestion control method is proposed. The state of the UAV network data nodes is sensed using an ant colony algorithm, data scheduling flows are selected according to the bandwidth load, and data congestion is alleviated through data allocation as well as route maintenance. In the experiments, the control performance of the proposed control method is verified. The analysis of the experimental results shows that the proposed method is used to construct a multi-link data congestion control technique with a low data congestion rate and its control performance is high.

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A Multipath Packet Scheduling Approach based on Buffer Acknowledgement for Congestion Control

Cited by 3 publications

References 23 publications

An efficient congestion control in multimedia streaming using adaptive BRR and fuzzy butterfly optimization

An efficient congestion control in multimedia streaming using adaptive BRR and fuzzy butterfly optimization

Cross-Layer based TCP Performance Enhancement in IoT Networks

Transmission line UAV inspection multi-link data congestion control method

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