FloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System.

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 sens...

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Bibliographic Details
Main Authors: Zhou, J, Roure, D
Format: Journal article
Language:English
Published: 2007
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author Zhou, J
Roure, D
author_facet Zhou, J
Roure, D
author_sort Zhou, J
collection OXFORD
description 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. © Science Press, Beijing, China and Springer Science + Business Media, LLC, USA 2007.
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spelling oxford-uuid:139bf6ea-ab13-48ee-b138-f50b71f3d5d62022-03-26T10:14:50ZFloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:139bf6ea-ab13-48ee-b138-f50b71f3d5d6EnglishSymplectic Elements at Oxford2007Zhou, JRoure, DWe 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. © Science Press, Beijing, China and Springer Science + Business Media, LLC, USA 2007.
spellingShingle Zhou, J
Roure, D
FloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System.
title FloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System.
title_full FloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System.
title_fullStr FloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System.
title_full_unstemmed FloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System.
title_short FloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System.
title_sort floodnet coupling adaptive sampling with energy aware routing in a flood warning system
work_keys_str_mv AT zhouj floodnetcouplingadaptivesamplingwithenergyawareroutinginafloodwarningsystem
AT roured floodnetcouplingadaptivesamplingwithenergyawareroutinginafloodwarningsystem