An experiment with reflective middleware to support grid-based flood monitoring

Authors:
Danny Hughes;Phil Greenwood;Gordon Blair;Geoff Coulson;Paul Grace;Florian Pappenberger;Paul Smith;Keith Beven
Affiliations:
Computing Department, Infolab21, Lancaster University, Lancaster LA1 4WA, U.K.;Computing Department, Infolab21, Lancaster University, Lancaster LA1 4WA, U.K.;Computing Department, Infolab21, Lancaster University, Lancaster LA1 4WA, U.K.;Computing Department, Infolab21, Lancaster University, Lancaster LA1 4WA, U.K.;Computing Department, Infolab21, Lancaster University, Lancaster LA1 4WA, U.K.;Environmental Science Department, Lancaster University, Lancaster LA1 4YQ, U.K.;Environmental Science Department, Lancaster University, Lancaster LA1 4YQ, U.K.;Environmental Science Department, Lancaster University, Lancaster LA1 4YQ, U.K.
Venue:
Concurrency and Computation: Practice & Experience - UK e-Science All Hands Meeting 2006
Year:
2008

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Abstract

Flooding is a growing problem, which affects more than 10% ofthe U.K. population. The cost of damage caused by floodingcorrelates closely with the warning time given before a floodevent, making flood monitoring and prediction critical tominimizing the cost of flood damage. This paper describes awireless sensor network (WSN) for flood warning, which is capableof not only integrating with remote fixed-network grids forcomputationally intensive flood modelling purposes but alsoperforming on-site grid computation. This functionality issupported by the reflective and component-based GridKit middleware,which provides support for both WSN and grid application domains.Copyright © 2007 John Wiley & Sons, Ltd.