Event-Based Admission Control Over Multi-Hop Networks with Self-Interference

Onur Ayan, Polina Kutsevol, Wolfgang Kellerer, Xueli An

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this work, we investigate the application of event-triggering in a multi-hop networked control scenario with interference constraints. In particular, we consider a line network comprised of H nodes with neighboring nodes affecting the reliability of each other, hence, introducing packet loss and non-negligible end-to-end latency. Having the practical feasibility in mind, we focus on admission control mechanisms at the sensor without assuming a centralized scheduling entity that has the perfect and global knowledge of the entire network. We demonstrate that, if the limitations of the network are neglected, the event-triggering mechanism may lead to low end-to-end reliability causing a significant degradation of the control performance. As a solution, we propose two novel admission control policies that aim to find a minimum inter-event time (MIET) in order to prevent a network congestion followed by a control performance deterioration. While the first policy follows an analytical approach combining the core principles of event-triggering and congestion control, the second policy learns the MIET adaptively without the knowledge of the network model. We show through numerical evaluation that the proposed strategies improve the control performance by more than 20% if the event criterion is selected appropriately.

Original languageEnglish
Title of host publication2023 62nd IEEE Conference on Decision and Control, CDC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2078-2085
Number of pages8
ISBN (Electronic)9798350301243
DOIs
StatePublished - 2023
Event62nd IEEE Conference on Decision and Control, CDC 2023 - Singapore, Singapore
Duration: 13 Dec 202315 Dec 2023

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference62nd IEEE Conference on Decision and Control, CDC 2023
Country/TerritorySingapore
CitySingapore
Period13/12/2315/12/23

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