|Bibliography||Philipp, Damian; Stachowiak, Jaroslaw; Dürr, Frank; Rothermel, Kurt: Model-Driven Public Sensing in Sparse Networks. |
In: Proceedings of the 10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
LNCS, pp. 1-12, english.
Springer, December 2013.
Article in Proceedings (Conference Paper).
|CR-Schema||C.2.4 (Distributed Systems)|
|Keywords||model-driven; energy optimization; public sensing; opportunistic sensing; adaptive algorithm; mobility|
Public Sensing (PS) is a recent trend for building large-scale sensor data acquisition systems using commodity smartphones. Limiting the energy drain on participating devices is a major challenge for PS, as otherwise people will stop sharing their resources with the PS system. Existing solutions for limiting the energy drain through model-driven optimizations are limited to dense networks where there is a high probability for every point of interest to be covered by a smartphone. In this work, we present an adaptive model-driven PS system that deals with both dense and sparse networks. Our evaluations show that this approach improves data quality by up to 41 percentage points while enabling the system to run with a greatly reduced number of participating smartphones. Furthermore, we can save up to 81% of energy for communication and sensing while providing data matching an error bound of 1°C up to 96% of the time.
|Full text and|
|PDF (236732 Bytes)|
|Copyright||© Springer-Verlag 2013. This work is subject to copyright. All right are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitations, broadcastings, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German copyright Law of September 9, 1965, in its current version, and permission of use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. |
|Department(s)||University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems|
|Entry date||October 24, 2013|