Comparing Real-Time Communication Under Electromagnetic Interference

Ian Broster; Alan Burns; Guillermo Rodríguez-Navas

Comparing Real-Time Communication Under Electromagnetic Interference

Ian Broster, Alan Burns, Guillermo Rodríguez-Navas

Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

The contribution of this paper is threefold. First, an improvement to a previously published paper on the timing analysis of Controller Area Network (CAN) in the presence of transient network faults is presented. A probabilistic fault model is considered, where random faults from electromagnetic interference occur according to a Poisson distribution. The analysis provides worst case response times for message frames, not as a single value, but as a probability distribution. Secondly, a similar result is produced for time-triggered CAN (TTCAN), a version of CAN based on time-driven schedule. Thirdly, these analyses are applied to an example message set and used to discuss the dependability of event-triggered and time-triggered communication in the presence of electromagnetic interference. The results indicate that, an event-triggered bus can generally provide a higher probability of timely-delivery of data than a time-triggered bus.

Original language	Undefined/Unknown
Pages	45-52
Publication status	Published - 2004

Bibliographical note

Catania, Italy
June 30-July 02
ISBN: 0-7695-2176-2

Access to Document

http://doi.ieeecomputersociety.org/10.1109/ECRTS.2004.9

Cite this

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title = "Comparing Real-Time Communication Under Electromagnetic Interference",

abstract = "The contribution of this paper is threefold. First, an improvement to a previously published paper on the timing analysis of Controller Area Network (CAN) in the presence of transient network faults is presented. A probabilistic fault model is considered, where random faults from electromagnetic interference occur according to a Poisson distribution. The analysis provides worst case response times for message frames, not as a single value, but as a probability distribution. Secondly, a similar result is produced for time-triggered CAN (TTCAN), a version of CAN based on time-driven schedule. Thirdly, these analyses are applied to an example message set and used to discuss the dependability of event-triggered and time-triggered communication in the presence of electromagnetic interference. The results indicate that, an event-triggered bus can generally provide a higher probability of timely-delivery of data than a time-triggered bus.",

author = "Ian Broster and Alan Burns and Guillermo Rodr{\'i}guez-Navas",

note = "Catania, Italy June 30-July 02 ISBN: 0-7695-2176-2",

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AU - Broster, Ian

AU - Burns, Alan

AU - Rodríguez-Navas, Guillermo

N1 - Catania, Italy June 30-July 02 ISBN: 0-7695-2176-2

PY - 2004

Y1 - 2004

N2 - The contribution of this paper is threefold. First, an improvement to a previously published paper on the timing analysis of Controller Area Network (CAN) in the presence of transient network faults is presented. A probabilistic fault model is considered, where random faults from electromagnetic interference occur according to a Poisson distribution. The analysis provides worst case response times for message frames, not as a single value, but as a probability distribution. Secondly, a similar result is produced for time-triggered CAN (TTCAN), a version of CAN based on time-driven schedule. Thirdly, these analyses are applied to an example message set and used to discuss the dependability of event-triggered and time-triggered communication in the presence of electromagnetic interference. The results indicate that, an event-triggered bus can generally provide a higher probability of timely-delivery of data than a time-triggered bus.

AB - The contribution of this paper is threefold. First, an improvement to a previously published paper on the timing analysis of Controller Area Network (CAN) in the presence of transient network faults is presented. A probabilistic fault model is considered, where random faults from electromagnetic interference occur according to a Poisson distribution. The analysis provides worst case response times for message frames, not as a single value, but as a probability distribution. Secondly, a similar result is produced for time-triggered CAN (TTCAN), a version of CAN based on time-driven schedule. Thirdly, these analyses are applied to an example message set and used to discuss the dependability of event-triggered and time-triggered communication in the presence of electromagnetic interference. The results indicate that, an event-triggered bus can generally provide a higher probability of timely-delivery of data than a time-triggered bus.

M3 - Paper

SP - 45

EP - 52

ER -