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Identifying the Challenges in Reducing Latency in GSN using Predictors

contributor IPVS, Verteilte Systeme
creator Benzing, Andreas
Herrmann, Klaus
Koldehofe, Boris
Rothermel, Kurt
date 2009-03
description 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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identifier  http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2009-04&engl=1
ISBN: ISSN: 1863-2122
language eng
publisher Kassel: EASST
relation Electronic Communications of the EASST; 17
Kommunikation in Verteilten Systemen
source In: Margaria, Tiziana (ed.); Padberg, Julia (ed.); Taentzer, Gabriele (ed.): Workshops der Wissenschaftlichen Konferenz Kommunikation in Verteilten Systemen 2009 (WowKiVS 2009), pp. 1-1
ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2009-04/INPROC-2009-04.pdf
subject Distributed Systems (CR C.2.4)
Global Sensor Networks
Wireless Sensor Networks
Predictors
title Identifying the Challenges in Reducing Latency in GSN using Predictors
type Text
Article in Proceedings