Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-00224-3_4
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dc.titleQoS management for wireless sensor networks with a mobile sink
dc.contributor.authorHoes, R.
dc.contributor.authorBasten, T.
dc.contributor.authorYeow, W.-L.
dc.contributor.authorTham, C.-K.
dc.contributor.authorGeilen, M.
dc.contributor.authorCorporaal, H.
dc.date.accessioned2014-06-19T03:24:45Z
dc.date.available2014-06-19T03:24:45Z
dc.date.issued2009
dc.identifier.citationHoes, R.,Basten, T.,Yeow, W.-L.,Tham, C.-K.,Geilen, M.,Corporaal, H. (2009). QoS management for wireless sensor networks with a mobile sink. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5432 LNCS : 53-68. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-00224-3_4" target="_blank">https://doi.org/10.1007/978-3-642-00224-3_4</a>
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71529
dc.description.abstractThe problem of configuration of Wireless Sensor Networks is an interesting challenge. The objective is to find the settings, for each sensor node, that optimise certain task-level QoS metrics. An existing configuration method is available for tree-based static networks. We extend this method to support a mobile sink. First, the routing tree is adapted to the sink's new location, after which the parameters of the nodes are optimised. Both algorithms are distributed and localised, and therefore efficient and scalable, and are able to flexibly trade reconfiguration cost (time and energy) for quality to match the demands of the application. Various options are analysed, and evaluated in simulation. © 2009 Springer Berlin Heidelberg.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-00224-3_4
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1007/978-3-642-00224-3_4
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume5432 LNCS
dc.description.page53-68
dc.identifier.isiutNOT_IN_WOS
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