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Searching for the minimum failures that can cause a hazard in a wireless sensor network
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID-id: 0000-0003-2415-8219
Department of Computer Science, University of York.
2013 (Engelska)Ingår i: GECCO - Proceedings of the 2013 Genetic and Evolutionary Computation Conference, 2013, s. 1213-1220Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Wireless Sensor Networks (WSN) are now being used in a range of applications, many of which are critical systems, e.g. monitoring assisted living facilities or for fire detection systems which is the example used in this paper. For critical systems it is important to be able to determine the minimum number of failures that can cause a hazard to occur. This is normally a manual, human intensive, task. This paper presents a novel application of search to both the WSN and safety domains; searching for combinations of failures that can cause a hazard and then reducing these to the minimum possible using a combination of automated search and manual refinement. Due to the size and complexity of the search problem, a parallel search algorithm is designed that runs on available compute resources with the results being processed using R. Copyright © 2013 ACM.

Ort, förlag, år, upplaga, sidor
2013. s. 1213-1220
Serie
GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference
Nyckelord [en]
Safety and dependability, Search-based testing, Stress-based testing, Wireless sensor networks
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:mdh:diva-21445DOI: 10.1145/2463372.2463520ISI: 000321981300152Scopus ID: 2-s2.0-84883119804ISBN: 9781450319638 (tryckt)OAI: oai:DiVA.org:mdh-21445DiVA, id: diva2:647987
Konferens
2013 15th Genetic and Evolutionary Computation Conference, GECCO 2013, 6 July 2013 through 10 July 2013, Amsterdam
Tillgänglig från: 2013-09-13 Skapad: 2013-09-13 Senast uppdaterad: 2018-08-07Bibliografiskt granskad

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Bate, Iain

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