Distributed Optimization for Resource Allocation Problem with Dynamic Event-Triggered Strategy

This study aims to unravel the resource allocation problem (RAP) by using a consensus-based distributed optimization algorithm under dynamic event-triggered (DET) strategies. Firstly, based on the multi-agent consensus approach, a novel one-to-all DET strategy is presented to solve the RAP. Secondly...

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Bibliographic Details
Main Authors: Feilong Guo, Xinrui Chen, Mengyao Yue, Haijun Jiang, Siyu Chen
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/25/7/1019
Description
Summary:This study aims to unravel the resource allocation problem (RAP) by using a consensus-based distributed optimization algorithm under dynamic event-triggered (DET) strategies. Firstly, based on the multi-agent consensus approach, a novel one-to-all DET strategy is presented to solve the RAP. Secondly, the proposed one-to-all DET strategy is extended to a one-to-one DET strategy, where each agent transmits its state asynchronously to its neighbors. Furthermore, it is proven that the proposed two types of DET strategies do not have Zeno behavior. Finally, numerical simulations are provided to validate and illustrate the effectiveness of the theoretical results.
ISSN:1099-4300