A Robust Congestion Control Strategy for Delay Dependent Differentiated-Services Networks

Bouyoucef, K.; Khorasani, K.

doi:10.1109/isie.2007.4375075

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…This random information traffic might also be considered in a single traffic or a differentiated-services framework. 11,12 To model and simulate our framework as realistic as possible, some constraints are also considered on the information flow (bit rate) λ that should be bounded such that 0 ≤ λ ≤ λ max . Depending on the type of service, each buffer has some finite storage capacity whose queue length is bounded by 0 ≤ X buf size ≤ X buf sizemax .…”

Section: Framework Definitionmentioning

confidence: 99%

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A network-centric robust resource allocation strategy for unmanned systems: stability analysis

Bouyoucef¹,

Khorasani²

2007

SPIE Proceedings

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It is widely understood that communication is a critical technological factor in designing autonomous unmanned networks consisting of a large number of heterogeneous nodes that may be configured in ad-hoc fashions and incorporating intricate architectures. In fact, one of the challenges in this field is to recognize the entire network as a heterogenous collection of physical and information systems with complicated interconnections and interactions. Using high data rates that are essential for real-time interactive command and control systems, these networks require utilization of optimal integration of local feedback loops into a scheduling and resource allocation systems. This integration becomes particularly problematic in presence of latencies and delays.Given that dynamics of a network of unmanned systems could easily become unstable depending on interconnections among nodes, in this paper stability of the resulting time-delayed controlled network based on configuration changes is studied. We also formally investigate sufficient conditions for our proposed robust resource allocation strategies to be able to cope with these interconnections and time-delays in an optimal fashion.Our time-delayed dependent network consists of three nodes that can be configured into different architectures. To model our traffic and network we use a fluid flow model that is of low order and simpler than a detailed Markovian queueing probabilistic model. Using sliding mode-based variable structure control (SM-VSC) techniques that enjoy robustness capabilities, we design on the basis of an inaccurate/uncertain model our proposed robust nonlinear feedback-based control approaches. The results presented are analyzed analytically to guarantee stability of known/unknown time-delayed dependent network of unmanned systems for different configurations.

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Section: Framework Definitionmentioning

confidence: 99%

“…11,12,17 This will be accomplished provided that for the above system, a sliding mode exists in some neighborhood of the linear switching surface that is defined as S l (t) = e l (t).…”

Section: Proposed Robust Resource Allocation Control Strategy 31 Prmentioning

confidence: 99%

A network-centric robust resource allocation strategy for unmanned systems: stability analysis

Bouyoucef¹,

Khorasani²

2007

SPIE Proceedings

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A Distributed Congestion Control Strategy for Differentiated-Services Network

Bouyoucef

Khorasani

2008

2008 International Conference on Communication Theory, Reliability, and Quality of Service

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A Sliding Mode-based congestion control for time delayed differentiated-services networks

Bouyoucef

Khorasani

2007

2007 Mediterranean Conference on Control &Amp; Automation

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In this paper robust control techniques are used and investigated for congestion control problem of time-delayed scalable differentiated Services (DiffServ) networks. The robustness capabilities of sliding mode variable structure control (SM-VSC) technique are utilized as a design basis for a new congestion control strategy subject to inaccurate/uncertain network model. The fluid flow model (FFM) adopted in this paper is of low order and simpler than a detailed Markovian queuing probabilistic models. The proposed time-delayed dependent congestion control dynamics is studied analytically to guarantee stability of the closed-loop system. To evaluate the capabilities of our proposed robust control strategy, simulation results are provided for different operating conditions and time-delay values.

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A Robust Congestion Control Strategy for Delay Dependent Differentiated-Services Networks

Cited by 4 publications

References 15 publications

A network-centric robust resource allocation strategy for unmanned systems: stability analysis

A network-centric robust resource allocation strategy for unmanned systems: stability analysis

A Distributed Congestion Control Strategy for Differentiated-Services Network

A Sliding Mode-based congestion control for time delayed differentiated-services networks

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