Please use this identifier to cite or link to this item: https://doi.org/10.1145/1298126.1298140
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dc.titleAnalysing QoS trade-offs in wireless sensor networks
dc.contributor.authorHoes, R.
dc.contributor.authorBasten, T.
dc.contributor.authorTham, C.-K.
dc.contributor.authorGeilen, M.
dc.contributor.authorCorporaal, H.
dc.date.accessioned2014-06-19T02:59:53Z
dc.date.available2014-06-19T02:59:53Z
dc.date.issued2007
dc.identifier.citationHoes, R.,Basten, T.,Tham, C.-K.,Geilen, M.,Corporaal, H. (2007). Analysing QoS trade-offs in wireless sensor networks. MSWiM'07: Proceedings of the Tenth ACM Symposium on Modeling, Analysis, and Simulation of Wireless and Mobile Systems : 60-69. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/1298126.1298140" target="_blank">https://doi.org/10.1145/1298126.1298140</a>
dc.identifier.isbn9781595938510
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69368
dc.description.abstractQuality of Service (QoS) support for wireless sensor networks (WSN) is a fairly new topic that is gaining more and more interest. This paper introduces a method for configuring the nodes of a WSN such that application-level QoS constraints are met. This is a complex task, since the search space is typically extremely large. The method is based on a recent algebraic approach to Pareto analysis, that we use to reason about QoS trade-offs. It features an algorithm that keeps the working set of possible configurations small, by analysing parts of the network in a hierarchical fashion, and meanwhile discarding configurations that are inferior to other configurations. Furthermore, we give WSN models for two different applications, in which QoS trade-offs are made explicit. Test results show that the models are accurate and that the method is scalable and thus practically usable for WSN, even with large numbers of nodes. Copyright 2007 ACM.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/1298126.1298140
dc.sourceScopus
dc.subjectAlgorithms
dc.subjectPerformance
dc.subjectTheory
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1145/1298126.1298140
dc.description.sourcetitleMSWiM'07: Proceedings of the Tenth ACM Symposium on Modeling, Analysis, and Simulation of Wireless and Mobile Systems
dc.description.page60-69
dc.identifier.isiutNOT_IN_WOS
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