Title
Troubleshooting Wireless Coexistence Problems in the Industrial Internet of Things
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 userfriendly, automated failure analysis system, and we outline an architecture of such system that allows to observe multiple communication standards and unknown sources of interference.
Year
DOI
Venue
2016
10.1109/CSE-EUC-DCABES.2016.167
2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)
Keywords
Field
DocType
troubleshooting wireless coexistence problems,connectivity prediction,information flow monitoring,failure analysis,safety-critical industrial Internet of Things,safety-critical IIoT,radio technologies
Troubleshooting,Wireless network,Information flow (information theory),Dependability,Wireless,Computer security,Computer science,Computer network,Automation,Wireless sensor network,Network performance
Conference
ISBN
Citations 
PageRank 
978-1-5090-3594-6
0
0.34
References 
Authors
28
5
Name
Order
Citations
PageRank
Ulf Wetzker100.68
Ingmar Splitt200.34
Marco Zimmerling365444.15
Carlo Alberto Boano454442.61
Kay Römer51270137.16