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A decentralized control strategy for joint resource allocation and routing in node-based wireless data networks

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A decentralized control strategy for joint resource allocation and routing in node-based wireless data networks. / Baromand, S.; Nekouie, M. A.; Navaie, Keivan.

Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on. New York : IEEE, 2012. p. 71-75.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Baromand, S, Nekouie, MA & Navaie, K 2012, A decentralized control strategy for joint resource allocation and routing in node-based wireless data networks. in Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on. IEEE, New York, pp. 71-75, 4th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), United Kingdom, 3/10/12. https://doi.org/10.1109/ICUMT.2012.6459759

APA

Baromand, S., Nekouie, M. A., & Navaie, K. (2012). A decentralized control strategy for joint resource allocation and routing in node-based wireless data networks. In Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on (pp. 71-75). New York: IEEE. https://doi.org/10.1109/ICUMT.2012.6459759

Vancouver

Baromand S, Nekouie MA, Navaie K. A decentralized control strategy for joint resource allocation and routing in node-based wireless data networks. In Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on. New York: IEEE. 2012. p. 71-75 https://doi.org/10.1109/ICUMT.2012.6459759

Author

Baromand, S. ; Nekouie, M. A. ; Navaie, Keivan. / A decentralized control strategy for joint resource allocation and routing in node-based wireless data networks. Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on. New York : IEEE, 2012. pp. 71-75

Bibtex

@inproceedings{7cc3176d38af4e7683a3ce04519bade6,
title = "A decentralized control strategy for joint resource allocation and routing in node-based wireless data networks",
abstract = "The optimal performance of the network can be achieved by simultaneous optimization of routing and resource allocation. We use a delayed dynamic model of queue length in each node to describe the data flows in the network. Unlike similar previous works in the literature we assume that delay exists in the queuing model and so we will have dynamic flow model for the routing of data packets across the network. We assume that the capacity of a wireless link is a concave and increasing function of the communications resources allocated to the link, and the communications resources for groups of links are limited. With these assumptions we formulate the simultaneous routing and resource allocation (SRRA) problem as a convex optimization problem over the network flow variables and the communications variables. By our control strategy, an optimal routing performance in the presence of unknown network delays in network modeling and resource limitations is achieved.",
keywords = "Terms node-based wireless data networks, optimization method, routing, resource allocation, H-INFINITY CONTROL, TRAFFIC NETWORKS, CONTROL-SYSTEMS, DESIGN, ALGORITHM, DELAY",
author = "S. Baromand and Nekouie, {M. A.} and Keivan Navaie",
year = "2012",
doi = "10.1109/ICUMT.2012.6459759",
language = "English",
isbn = "9781467320160",
pages = "71--75",
booktitle = "Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - A decentralized control strategy for joint resource allocation and routing in node-based wireless data networks

AU - Baromand, S.

AU - Nekouie, M. A.

AU - Navaie, Keivan

PY - 2012

Y1 - 2012

N2 - The optimal performance of the network can be achieved by simultaneous optimization of routing and resource allocation. We use a delayed dynamic model of queue length in each node to describe the data flows in the network. Unlike similar previous works in the literature we assume that delay exists in the queuing model and so we will have dynamic flow model for the routing of data packets across the network. We assume that the capacity of a wireless link is a concave and increasing function of the communications resources allocated to the link, and the communications resources for groups of links are limited. With these assumptions we formulate the simultaneous routing and resource allocation (SRRA) problem as a convex optimization problem over the network flow variables and the communications variables. By our control strategy, an optimal routing performance in the presence of unknown network delays in network modeling and resource limitations is achieved.

AB - The optimal performance of the network can be achieved by simultaneous optimization of routing and resource allocation. We use a delayed dynamic model of queue length in each node to describe the data flows in the network. Unlike similar previous works in the literature we assume that delay exists in the queuing model and so we will have dynamic flow model for the routing of data packets across the network. We assume that the capacity of a wireless link is a concave and increasing function of the communications resources allocated to the link, and the communications resources for groups of links are limited. With these assumptions we formulate the simultaneous routing and resource allocation (SRRA) problem as a convex optimization problem over the network flow variables and the communications variables. By our control strategy, an optimal routing performance in the presence of unknown network delays in network modeling and resource limitations is achieved.

KW - Terms node-based wireless data networks

KW - optimization method

KW - routing

KW - resource allocation

KW - H-INFINITY CONTROL

KW - TRAFFIC NETWORKS

KW - CONTROL-SYSTEMS

KW - DESIGN

KW - ALGORITHM

KW - DELAY

U2 - 10.1109/ICUMT.2012.6459759

DO - 10.1109/ICUMT.2012.6459759

M3 - Conference contribution/Paper

SN - 9781467320160

SP - 71

EP - 75

BT - Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on

PB - IEEE

CY - New York

ER -