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Troubleshooting wireless coexistence problems in the industrial internet of things

 
: Wetzker, Ulf; Splitt, Ingmar; Zimmerling, Marco; Boano, Carlo Alberto; Römer, Kay

:
Postprint urn:nbn:de:0011-n-4131840 (1.5 MByte PDF)
MD5 Fingerprint: f50ee52407bc36a3ab84d12cda411aa3
Erstellt am: 10.9.2016


Institute of Electrical and Electronics Engineers -IEEE-:
19th IEEE International Conference on Computational Science and Engineering, 14th IEEE International Conference on Embedded and Ubiquitous Computing, 15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016. Proceedings : 24-26 August 2016, Paris, France
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-3593-9
ISBN: 978-1-5090-3594-6
S.98-109
International Conference on Computational Science and Engineering (CSE) <19, 2016, Paris>
International Conference on Embedded and Ubiquitous Computing (EUC) <14, 2016, Paris>
International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES) <15, 2016, Paris>
Bundesministerium für Bildung und Forschung BMBF
fast automation
Erforschung und Entwicklung einer Funktechnologie in linzenzfreien Frequenzbändern mit extrem niedrigen Übertragungslatenzen für den Einsatz in Sensor-Aktor-Anwendungen in der Industrieautomation
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IIS, Institutsteil Entwurfsautomatisierung (EAS) ()

Abstract
The ever-growing proliferation of wireless devices and technologies used for Internet of Things (IoT) applications, such as patient monitoring, military surveillance, and industrial automation and control, has created an increasing need for methods and tools for connectivity prediction, information flow monitoring, and failure analysis to increase the dependability of the wireless network. Indeed, in a safety-critical Industrial IoT (IIoT) setting, such as a smart factory, harsh signal propagation conditions combined with interference from coexisting radio technologies operating in the same frequency band may lead to poor network performance or even application failures despite precautionary measures. Analyzing and troubleshooting such failures on a large scale is often difficult and time-consuming. In this paper, we share our experience in troubleshooting coexistence problems in operational IIoT networks by reporting on examples that show the possible hurdles in carrying out failure analysis. Our experience motivates the need for a user friendly, automated failure analysis system, and we outline an architecture of such system that allows to observe multiple communication standards and unknown sources of interference.

: http://publica.fraunhofer.de/dokumente/N-413184.html