Flooding is a growing problem, which affects more than 10% of the UK 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 for flood warning which is not only capable of integrating with remote fixed-network grids for computationally-intensive flood modeling purposes, but is also capable of 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.
Danny Hughes, Phil Greenwood, Gordon S. Blair, Geo