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Detailed Diagnosis of Performance Anomalies in Sensornets
RISE, Swedish ICT, SICS, Computer Systems Laboratory.ORCID iD: 0000-0003-3139-2564
RISE, Swedish ICT, SICS, Computer Systems Laboratory.ORCID iD: 0000-0003-2283-2206
RISE, Swedish ICT, SICS, Computer Systems Laboratory.ORCID iD: 0000-0002-2586-8573
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2010 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We address the problem of analysing performance anomalies in sensor networks. In this paper, we propose an approach that uses the local flash storage of the motes for logging system data, in combination with online statistical analysis. Our results show not only that this is a feasible method but that the overhead is significantly lower than that of communication-centric methods, and that interesting patterns can be revealed when calculating the correlation of large data sets of separate event types.

Place, publisher, year, edition, pages
2010, 9.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-23702OAI: oai:DiVA.org:ri-23702DiVA: diva2:1042779
Conference
ACM HotEMNETS 2010 Workshop on Hot Topics in Embedded Networked Sensors, June 2010, Cork, Ireland.
Projects
GINSENGCONET
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-07-27Bibliographically approved

Open Access in DiVA

fulltext(83 kB)8 downloads
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File name FULLTEXT01.pdfFile size 83 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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Tsiftes, NicolasHe, ZhitaoVoigt, Thiemo
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Total: 8 downloads
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CiteExportLink to record
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Language
  • de-DE
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Output format
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