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Wireless Sensor and Actuator Networks for Lighting Energy ...

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Chapter 4<br />

Mote-FVF: Fuzzy Validation <strong>and</strong> Fusion <strong>for</strong><br />

<strong>Sensor</strong> <strong>Networks</strong><br />

The research discussed in this chapter <strong>and</strong> the following two chapters are<br />

devoted to better harnessing the wireless sensor <strong>and</strong> actuator network technologies to<br />

the energy-efficient lighting systems. <strong>Wireless</strong> sensor <strong>and</strong> actuator network<br />

technologies present the potential <strong>for</strong> low-cost, easy-retrofitting, versatile <strong>and</strong> energyefficient<br />

lighting systems; however, the expected superiorities can only be achieved<br />

with the complement of pertinent sensing in<strong>for</strong>mation <strong>and</strong> proper control actions.<br />

Successful lighting control relies on good sensory in<strong>for</strong>mation from the light<br />

sensors. The miniature size, limited energy, <strong>and</strong> the desktop-deployed photosensor<br />

make the sensor nodes prone to disturbances <strong>and</strong> unpredictable failures. Redundancy as<br />

well as sensor validation <strong>and</strong> fusion are introduced to ensure the reliability <strong>and</strong><br />

pertinence of the sensory in<strong>for</strong>mation. The sensor validation <strong>and</strong> fusion algorithm based<br />

on fuzzy logic, named mote-FVF, is developed <strong>for</strong> extracting pertinent sensor data from<br />

a cluster of redundant sensors while rejecting readings from disturbed or malfunctioning<br />

sensors.<br />

4.1 Rationale<br />

<strong>Wireless</strong> sensor networks promise more useful in<strong>for</strong>mation about the monitored<br />

environment via massive deployment of miniature sensor nodes. The global in<strong>for</strong>mation<br />

that can be extracted from the distributed sensors in the data-centric operation of a<br />

45

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