Reference : Event Notification in CAN-based Sensor Networks
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/40221
Event Notification in CAN-based Sensor Networks
English
Bloom, Gedare [Howard University, USA > Department of Electrical Engineering and Computer Science]
Cena, Gianluca [National Research Council of Italy > Institute of Electronics, Computer and Telecommunication Engineering (IEIIT)]
Cibrario Bertolotti, Ivan [National Research Council of Italy > Institute of Electronics, Computer and Telecommunication Engineering (IEIIT)]
Hu, Tingting mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
Navet, Nicolas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
Valenzano, Adriano [National Research Council of Italy > Institute of Electronics, Computer and Telecommunication Engineering (IEIIT)]
Oct-2019
IEEE Transactions on Industrial Informatics
15
10
5613-5625
Yes
International
1551-3203
1941-0050
[en] Wired Sensor Networks ; Industry 4.0 ; Industrial Internet of Things ; Cyber-Physical Systems ; Controller Area Network (CAN) ; Bloom Filter ; CPAL
[en] Preventive and reactive maintenance require the collection of an ever-increasing amount of information from industrial plants and other complex systems, like those based on robotized cells, a need that can be fulfilled by means of a suitable event notification mechanism. At the same time, timing and delivery reliability requirements in those scenarios are typically less demanding than in other cases, thus enabling the adoption of best-effort notification approaches. This paper presents, evaluates, and compares some of those approaches, based on either standard CAN messaging or a recently proposed protocol extension called CAN XR. In the second case, the combined use of Bloom filters is also envisaged to increase flexibility. Results show that the latter approaches are advantageous in a range of event generation rates and network topologies of practical relevance.
This work was supported in part by the U.S. National Science Foundation (CNS Grant No 1646317) and U.S. Department of Homeland Security under Grant Award Number, 2017-ST-062-000003.
Researchers ; Professionals
http://hdl.handle.net/10993/40221
10.1109/TII.2019.2904082

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