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

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Published

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An experiment with reflective middleware to support grid-based flood monitoring. / Hughes, Danny; Greenwood, Phil; Blair, Gordon et al.

In: Concurrency and computation-Practice & experience, Vol. 20, No. 11, 10.08.2008, p. 1303-1316.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Hughes, D, Greenwood, P, Blair, G, Coulson, G, Grace, P, Pappenberger, F, Smith, P, Beven, K & Coulson, G 2008, 'An experiment with reflective middleware to support grid-based flood monitoring', Concurrency and computation-Practice & experience, vol. 20, no. 11, pp. 1303-1316. https://doi.org/10.1002/cpe.1279

APA

Hughes, D., Greenwood, P., Blair, G., Coulson, G., Grace, P., Pappenberger, F., Smith, P., Beven, K., & Coulson, G. (2008). An experiment with reflective middleware to support grid-based flood monitoring. Concurrency and computation-Practice & experience, 20(11), 1303-1316. https://doi.org/10.1002/cpe.1279

Vancouver

Hughes D, Greenwood P, Blair G, Coulson G, Grace P, Pappenberger F et al. An experiment with reflective middleware to support grid-based flood monitoring. Concurrency and computation-Practice & experience. 2008 Aug 10;20(11):1303-1316. doi: 10.1002/cpe.1279

Author

Hughes, Danny ; Greenwood, Phil ; Blair, Gordon et al. / An experiment with reflective middleware to support grid-based flood monitoring. In: Concurrency and computation-Practice & experience. 2008 ; Vol. 20, No. 11. pp. 1303-1316.

Bibtex

@article{fe8e19096b1540b28ce1f48c1f6e6ab2,
title = "An experiment with reflective middleware to support grid-based flood monitoring",
abstract = "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 (c) 2007 John Wiley & Sons, Ltd.",
keywords = "grid, WSN, middleware",
author = "Danny Hughes and Phil Greenwood and Gordon Blair and Geoff Coulson and Paul Grace and Florian Pappenberger and Paul Smith and Keith Beven and Geoffrey Coulson",
year = "2008",
month = aug,
day = "10",
doi = "10.1002/cpe.1279",
language = "English",
volume = "20",
pages = "1303--1316",
journal = "Concurrency and Computation Practice and Experience",
issn = "1532-0626",
publisher = "John Wiley and Sons Ltd",
number = "11",

}

RIS

TY - JOUR

T1 - An experiment with reflective middleware to support grid-based flood monitoring

AU - Hughes, Danny

AU - Greenwood, Phil

AU - Blair, Gordon

AU - Coulson, Geoff

AU - Grace, Paul

AU - Pappenberger, Florian

AU - Smith, Paul

AU - Beven, Keith

AU - Coulson, Geoffrey

PY - 2008/8/10

Y1 - 2008/8/10

N2 - 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 (c) 2007 John Wiley & Sons, Ltd.

AB - 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 (c) 2007 John Wiley & Sons, Ltd.

KW - grid

KW - WSN

KW - middleware

U2 - 10.1002/cpe.1279

DO - 10.1002/cpe.1279

M3 - Journal article

VL - 20

SP - 1303

EP - 1316

JO - Concurrency and Computation Practice and Experience

JF - Concurrency and Computation Practice and Experience

SN - 1532-0626

IS - 11

ER -