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Approximate Sensing with Vector Symbolic Architectures: The case of fault isolation in distributed automation systems
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0069-640X
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-6032-6155
VTT Technical Research Centre of Finland.
2017 (English)In: Proceedings: EWSN ’17 Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, New york: ACM Digital Library, 2017, p. 224-225Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Due to the stochastic and imprecise nature of sensory data, the current (exact computational) algorithms for their processing introduce unnecessary computational overhead. One of the major trends in the development of computation al elements for processing of sensory data is low-power imprecise electronics and accompanying algorithmic solutions for approximate computing. This poster introduces the usage of hyper-dimensional computing and vector-symbolic architectures in the context of wireless embedded systems. A problem of fault isolation in a distributed automation system is considered as a showcase. The poster presents the performance of the associative sensing approach as well as challenges associated with the design of communication techniques and network protocols for exchanging of VSA information.

Place, publisher, year, edition, pages
New york: ACM Digital Library, 2017. p. 224-225
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-64649ISBN: 978-0-9949886-1-4 (print)OAI: oai:DiVA.org:ltu-64649DiVA, id: diva2:1117863
Conference
2017 International Conference on Embedded Wireless Systems and Networks Uppsala, Sweden, February 20 - 22, 2017
Available from: 2017-06-29 Created: 2017-06-29 Last updated: 2018-03-28Bibliographically approved

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fulltext(367 kB)47 downloads
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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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More languages
Output format
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