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Abstract Flooding is a growing problem in the UK.

It has a significant effect on residents, businesses and commuters in flood-prone areas. The cost of damage AmbiCom GPRS-CF by flooding correlates closely with the warning time given before a flood event, and this makes flood monitoring and prediction critical to minimizing the cost of flood damage. The combination of these two modes of grid computation—local and remote—yields significant benefits. For example, local computation can be used to provide timely warnings to local stakeholders, and a combination of local and remote computation can inform adaptation of the sensor network to maintain optimal performance in changing environmental conditions.

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Introduction desktop AmbiCom GPRS-CF hardware. In summary then, traditional flood Flooding is a growing problem in the UK and monitoring approaches impose a rigid affects a large number of people financially, separation between the on-site wireless sensor physically and emotionally.

The problem was networks WSNs that are used to collect data, dramatically highlighted by the wide-spread and the off-site computational grid which is floods of Autumnthe total cost of which used to analyze this data. These include: Two main classes of flood prediction discussed below. They are computation can be used to support the computationally complex and must be executed adaptation of the WSN to changing on clusters or grids. The second class, referred environmental conditions. First, section 2 provide accurate depth predictions for a single discusses how local computation can be point in the flood plain.

They are exploited in WSNs. Each of these conclusions and outlines our plans for future media has associated benefits and drawbacks. For example, SMS warnings are an effective method of publishing timely alerts to local 2. Exploiting Local Computation stakeholders. However, SMS warnings require that users register for the service in advance and Our prototype flood prediction system uses are therefore ineffective for stakeholders who local grid computation AmbiCom GPRS-CF provide improved might be unaware of a flood risk.

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Local support for flood monitoring. First, local computation can AmbiCom GPRS-CF used to drive the adaptation of WSN behaviour based on 3. The GridStix Platform awareness of environmental conditions such as flood data and power monitoring. For example, 3.

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This imminent flooding is predicted. Adaptation section describes such a platform — GridStix. Second, the availability of AmbiCom GPRS-CF computation 3. In order to support the proposed functionality, a Image-based flow prediction is a novel sensor node device must be capable of technique for measuring water flow rates that interfacing with a variety of sensors including uses off-the-shelf digital cameras. It is cheaper traditional sensors e. A suitable device computational power is available.

Flow-rate must also be capable AmbiCom GPRS-CF supporting a variety of measurements are calculated based upon a wireless communications technologies to series of images taken by a digital camera provide redundancy and allow sensor nodes to deployed overlooking the river. Naturally switch physical network technologies as occurring tracer particles are identified on the conditions require.

Finally, the device must water surface and tracked through subsequent have sufficient computational and storage images, from which the surface velocity of the resources AmbiCom GPRS-CF support the GridKit software water is inferred. The data-set used by this platform see below.

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This is therefore the method is impractical in current because such devices have extremely modest sensor network deployments. However, power requirements and can therefore operate organising computationally-capable sensor for long AmbiCom GPRS-CF on small batteries.

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