article

FloodNet: coupling adaptive sampling with energy aware routing in a flood warning system

Authors:

David De RoureAuthors Info & Claims

Journal of Computer Science and Technology, Volume 22, Issue 1

Pages 121 - 130

https://doi.org/10.1007/s11390-007-9017-7

Published: 01 January 2007 Publication History

Abstract

We describe the design of FloodNet, a flood warning system, which uses a grid-based flood predictor model developed by environmental experts to make flood predictions based on readings of water level collected by a set of sensor nodes. To optimize battery consumption, the reporting frequency of sensor nodes is required to be adaptive to local conditions as well as the flood predictor model. We therefore propose an energy aware routing protocol which allows sensor nodes to consume energy according to this need. This system is notable both for the adaptive sampling regime and the methodology adopted in the design of the adaptive behavior, which involved development of simulation tools and very close collaboration with environmental experts.

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Cited By

Zhang SZhang QXiao SZhu TGu YLin Y(2015)Cooperative Data Reduction in Wireless Sensor NetworkACM Transactions on Embedded Computing Systems10.1145/278675514:4(1-26)Online publication date: 8-Dec-2015
https://dl.acm.org/doi/10.1145/2786755
Tran-Thanh LRogers AJennings N(2012)Long-term information collection with energy harvesting wireless sensorsAutonomous Agents and Multi-Agent Systems10.1007/s10458-011-9179-025:2(352-394)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1007/s10458-011-9179-0
Gharehshiran OKrishnamurthy V(2010)Coalition formation for bearings-only localization in sensor networksIEEE Transactions on Signal Processing10.1109/TSP.2010.204920158:8(4322-4338)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1109/TSP.2010.2049201
Show More Cited By

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FloodNet: coupling adaptive sampling with energy aware routing in a flood warning system

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cover image Journal of Computer Science and Technology

Journal of Computer Science and Technology Volume 22, Issue 1

January 2007

167 pages

ISSN:1000-9000

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 January 2007

Revised: 28 September 2006

Received: 10 January 2006

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Cited By

Zhang SZhang QXiao SZhu TGu YLin Y(2015)Cooperative Data Reduction in Wireless Sensor NetworkACM Transactions on Embedded Computing Systems10.1145/278675514:4(1-26)Online publication date: 8-Dec-2015
https://dl.acm.org/doi/10.1145/2786755
Tran-Thanh LRogers AJennings N(2012)Long-term information collection with energy harvesting wireless sensorsAutonomous Agents and Multi-Agent Systems10.1007/s10458-011-9179-025:2(352-394)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1007/s10458-011-9179-0
Gharehshiran OKrishnamurthy V(2010)Coalition formation for bearings-only localization in sensor networksIEEE Transactions on Signal Processing10.1109/TSP.2010.204920158:8(4322-4338)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1109/TSP.2010.2049201
Rana RHu WChou C(2010)Energy-aware sparse approximation technique (EAST) for rechargeable wireless sensor networksProceedings of the 7th European conference on Wireless Sensor Networks10.1007/978-3-642-11917-0_20(306-321)Online publication date: 17-Feb-2010
https://dl.acm.org/doi/10.1007/978-3-642-11917-0_20
von Watzdorf SMichahelles FOppermann REisenhauer MJarke MWulf V(2009)Evaluating mobile phones as risk information providersProceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/1613858.1613879(1-4)Online publication date: 15-Sep-2009
https://dl.acm.org/doi/10.1145/1613858.1613879

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