Admission Control in Communication Networks Using Discrete Time Sliding Mode Control

Joshi, Rutvij; Thakar, Vishvjit K.

doi:10.1007/978-81-322-2141-8_34

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…Nannan et al [14] analyze and control congestion in diffserv networks using second order sliding mode controllers to solve infinite switching problems. Discrete time Sliding Mode Control(SMC) [15,16,17] Identifying the research gaps, it is being concluded that soft computing methods are rarely attempted to address the issue. This paper proposes a control mechanism to deal the problem by inclusion of flow and congestion controller based on neural network model predictive control technique for end-to-end streaming oriented protocol.…”

Section: Introductionmentioning

confidence: 99%

A Novel Neural Network based Model Predictive Controller for Congestion Prevention in IP Networks

Baweja¹

2020

IJATCSE

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Design of a neural network based model predictive controller for UDP(User Datagram Protocol) flow caused congestion, in IP( Internet protocol) networks is proposed in this paper. The objectives of congestion control are prevention of congestion collapse, maximum network bandwidth utilization, TCP-friendliness and smoothness for streaming media applications. Various approaches for controlling congestion in networks are present in the literature. Many of these are make use of network models, which are already identified. In this paper a neural network utilizing Levenberg-Marquardt learning algorithm for on-line identification of non-linear plant(network) model is implemented and combined with a model predictive optimization technique using back tracking line search routine over a specified time horizon. Simulations were carried out to prove the effectiveness of the designed controller. Significant increase in the network bandwidth utilization is also established.

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Section: Introductionmentioning

confidence: 99%

A Novel Neural Network based Model Predictive Controller for Congestion Prevention in IP Networks

Baweja¹

2020

IJATCSE

View full text Add to dashboard Cite

show abstract

Admission Control in Communication Networks Using Discrete Time Sliding Mode Control

Cited by 1 publication

References 11 publications

A Novel Neural Network based Model Predictive Controller for Congestion Prevention in IP Networks

A Novel Neural Network based Model Predictive Controller for Congestion Prevention in IP Networks

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