Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication

This paper is concerned with an event triggered distributed optimization algorithm for network utility maximization (NUM) problems. According to an event triggering logic, a source broadcasts its information to links when a local signal exceeds a state dependent threshold. A similar communication lo...

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Main Authors: Meng, Xiangyu, Chen, Tongwen
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/103033
http://hdl.handle.net/10220/38711
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1030332020-03-07T14:02:47Z Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication Meng, Xiangyu Chen, Tongwen School of Electrical and Electronic Engineering Centre for System Intelligence and Efficiency (EXQUISITUS) DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering This paper is concerned with an event triggered distributed optimization algorithm for network utility maximization (NUM) problems. According to an event triggering logic, a source broadcasts its information to links when a local signal exceeds a state dependent threshold. A similar communication logic is executed by each link, where the link broadcasts its information to all sources that use the link. The algorithm is based on a sequential barrier method, which can be applied to optimization problems with constraints. The efficiency of the proposed scheme is verified via simulations. The simulation result shows that the proposed algorithm reduces the number of message exchanges while guaranteeing the converge to the optimal solution. Accepted version 2015-09-18T07:10:13Z 2019-12-06T21:04:14Z 2015-09-18T07:10:13Z 2019-12-06T21:04:14Z 2015 2015 Journal Article Meng, X., & Chen, T. (2015). Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication. International Journal of Sensors, Wireless Communications and Control, 5(2), 95-105. 2210-3279 https://hdl.handle.net/10356/103033 http://hdl.handle.net/10220/38711 10.2174/2210327905666150608225904 en International Journal of Sensors, Wireless Communications and Control © 2015 Bentham Science Publishers. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal of Sensors, Wireless Communications and Control, Bentham Science Publishers. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.2174/2210327905666150608225904]. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Meng, Xiangyu
Chen, Tongwen
Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication
description This paper is concerned with an event triggered distributed optimization algorithm for network utility maximization (NUM) problems. According to an event triggering logic, a source broadcasts its information to links when a local signal exceeds a state dependent threshold. A similar communication logic is executed by each link, where the link broadcasts its information to all sources that use the link. The algorithm is based on a sequential barrier method, which can be applied to optimization problems with constraints. The efficiency of the proposed scheme is verified via simulations. The simulation result shows that the proposed algorithm reduces the number of message exchanges while guaranteeing the converge to the optimal solution.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Meng, Xiangyu
Chen, Tongwen
format Article
author Meng, Xiangyu
Chen, Tongwen
author_sort Meng, Xiangyu
title Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication
title_short Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication
title_full Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication
title_fullStr Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication
title_full_unstemmed Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication
title_sort asynchronous distributed optimization for network utility maximization problems with event triggered communication
publishDate 2015
url https://hdl.handle.net/10356/103033
http://hdl.handle.net/10220/38711
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