Please use this identifier to cite or link to this item: doi:10.22028/D291-37870
Volltext verfügbar? / Dokumentlieferung
Title: Enabling Wireless Network Support for Gain Scheduled Control
Author(s): Gallenmüller, Sebastian
Herfet, Thorsten
Schröder-Preikschat, Wolfgang
Wehrle, Klaus
Glebke, René
Günther, Stephan
Hauser, Eric
Leclaire, Maurice
Reif, Stefan
Rüth, Jan
Schmidt, Andreas
Carle, Georg
Language: English
Title: Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking
Pages: 36–41
Publisher/Platform: ACM
Year of Publication: 2019
Place of publication: New York, NY
Place of the conference: Dresden
Free key words: edge computing
networking
control
latency-awareness
gain scheduling
reproducible wireless measurements
DDC notations: 004 Computer science, internet
621.3 Electrical engineering, electronics
Publikation type: Conference Paper
Abstract: To enable cooperation of cyber-physical systems in latency-critical scenarios, control algorithms are placed in edge systems communicating with sensors and actuators via wireless channels. The shift from wired towards wireless communication is accompanied by an inherent lack of predictability due to interference and mobility. The state of the art in distributed controller design is proactive in nature, modeling and predicting (and potentially oversimplifying) channel properties stochastically or pessimistically, i. e., worst-case considerations. In contrast, we present a system based on a real-time transport protocol that is aware of application-level constraints and applies run-time measurements for channel properties. Our run-time system utilizes this information to select appropriate controller instances, i. e., gain scheduling, that can handle the current conditions. We evaluate our system empirically in a wireless testbed employing a shielded environment to ensure reproducible channel conditions. A series of measurements demonstrates predictability of latency and potential limits for wireless networked control.
DOI of the first publication: 10.1145/3301418.3313943
Link to this record: urn:nbn:de:bsz:291--ds-378700
hdl:20.500.11880/34257
http://dx.doi.org/10.22028/D291-37870
ISBN: 9781450362757
Date of registration: 8-Nov-2022
Third-party funds sponsorship: The German Research Foundation (DFG) supported this work within the priority programme 1914 Cyber-Physical Networking (CPN) under grants CA 595/71, HE 2584/4-1, SCHR 603/15-1, and the REFLEXES project.
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Thorsten Herfet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
There are no files associated with this item.


Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.