|Bibliography||Benzing, Andreas; Herrmann, Klaus; Koldehofe, Boris; Rothermel, Kurt: Identifying the Challenges in Reducing Latency in GSN using Predictors. |
In: Margaria, Tiziana (ed.); Padberg, Julia (ed.); Taentzer, Gabriele (ed.): Workshops der Wissenschaftlichen Konferenz Kommunikation in Verteilten Systemen 2009 (WowKiVS 2009).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
Electronic Communications of the EASST; 17, pp. 1-6, english.
Kassel: EASST, March 2009.
Article in Proceedings (Workshop Paper).
|Corporation||Kommunikation in Verteilten Systemen|
|CR-Schema||C.2.4 (Distributed Systems)|
|Keywords||Global 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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|Copyright||The 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. |
|Department(s)||University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems|
|Entry date||December 11, 2008|