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An experiment with reflective middleware to support grid‐based flood monitoring
Author(s) -
Hughes Danny,
Greenwood Phil,
Blair Gordon,
Coulson Geoff,
Grace Paul,
Pappenberger Florian,
Smith Paul,
Beven Keith
Publication year - 2007
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.1279
Subject(s) - flood myth , flooding (psychology) , flood warning , grid , middleware (distributed applications) , computer science , wireless sensor network , warning system , population , real time computing , distributed computing , event (particle physics) , computer network , telecommunications , geography , psychology , physics , demography , archaeology , geodesy , quantum mechanics , sociology , psychotherapist
Flooding is a growing problem, which affects more than 10% of the U.K. population. The cost of damage caused by flooding correlates closely with the warning time given before a flood event, making flood monitoring and prediction critical to minimizing the cost of flood damage. This paper describes a wireless sensor network (WSN) for flood warning, which is capable of not only integrating with remote fixed‐network grids for computationally intensive flood modelling purposes but also performing on‐site grid computation. This functionality is supported by the reflective and component‐based GridKit middleware, which provides support for both WSN and grid application domains. Copyright © 2007 John Wiley & Sons, Ltd.