FloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System
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 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.
adaptive sampling, communication system routing, energy awareness, environmental sensor networks
121-130
Zhou, Jing
2feacdbe-0d3b-48be-85ea-62606439e631
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
January 2007
Zhou, Jing
2feacdbe-0d3b-48be-85ea-62606439e631
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Zhou, Jing and De Roure, David
(2007)
FloodNet: Coupling Adaptive Sampling with Energy Aware Routing in a Flood Warning System.
Journal of Computer Science and Technology, 22 (1), .
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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Published date: January 2007
Keywords:
adaptive sampling, communication system routing, energy awareness, environmental sensor networks
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 263030
URI: http://eprints.soton.ac.uk/id/eprint/263030
ISSN: 1000-9000
PURE UUID: 5ea00a51-ca2b-46c1-9cee-867767d45cea
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Date deposited: 29 Sep 2006
Last modified: 14 Mar 2024 07:23
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Contributors
Author:
Jing Zhou
Author:
David De Roure
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