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Event Notification in CAN-based Sensor Networks

Authors :
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. [sponsor]
Bloom, Gedare
Cena, Gianluca
Cibrario Bertolotti, Ivan
Hu, Tingting
Navet, Nicolas
Valenzano, Adriano
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. [sponsor]
Bloom, Gedare
Cena, Gianluca
Cibrario Bertolotti, Ivan
Hu, Tingting
Navet, Nicolas
Valenzano, Adriano
Publication Year :
2019

Abstract

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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1139860918
Document Type :
Electronic Resource