Artikel in Tagungsband INPROC-2009-04

Benzing, Andreas; Herrmann, Klaus; Koldehofe, Boris; Rothermel, Kurt: Identifying the Challenges in Reducing Latency in GSN using Predictors.
In: Margaria, Tiziana (Hrsg); Padberg, Julia (Hrsg); Taentzer, Gabriele (Hrsg): Workshops der Wissenschaftlichen Konferenz Kommunikation in Verteilten Systemen 2009 (WowKiVS 2009).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
Electronic Communications of the EASST; 17, S. 1-6, englisch.
Kassel: EASST, März 2009.
ISSN: 1863-2122.
Artikel in Tagungsband (Workshop-Beitrag).
KörperschaftKommunikation in Verteilten Systemen
CR-Klassif.C.2.4 (Distributed Systems)
KeywordsGlobal Sensor Networks, Wireless Sensor Networks, Predictors

Simulations based on real-time data continuously gathered from sensor networks all over the world have received growing attention due to the increasing availability of measured data. Furthermore, predictive techniques have been employed in the realm of such networks to reduce communication for energy-efficiency. However, research has focused on the high amounts of data transferred rather than latency requirements posed by the applications. We propose using predictors to supply data with low latency as required for accurate simulations. This paper investigates requirements for a successful combination of these concepts and discusses challenges that arise.

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CopyrightThe author grants EASST e.V. non-exclusive rights of publication free of charge. Exclusive publication rights have not been and will not be granted to any other publisher.
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Eingabedatum11. Dezember 2008
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