Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103033
Title: Asynchronous Distributed Optimization for Network Utility Maximization Problems with Event Triggered Communication
Authors: Meng, Xiangyu
Chen, Tongwen
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Issue Date: 2015
Source: 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.
Series/Report no.: International Journal of Sensors, Wireless Communications and Control
Abstract: 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.
URI: https://hdl.handle.net/10356/103033
http://hdl.handle.net/10220/38711
ISSN: 2210-3279
DOI: 10.2174/2210327905666150608225904
Rights: © 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].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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