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Wireless Sensor and Actuator Networks for Lighting Energy ...

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esulting lighting is optimal in the sense that it minimizes energy usage while satisfying<br />

the lighting preferences specified by each occupant.<br />

The optimal light settings are transmitted wirelessly to the wireless-enabled<br />

ballast actuators, which in turn dim the lights or toggle the lights on/off to deliver the<br />

desired lighting.<br />

1.3 Research Method<br />

The work in this research was realized with a combination of theoretical<br />

developments, hardware integration, <strong>and</strong> implementations. The theoretical research –<br />

including sensor fusion, adaptive sensing <strong>and</strong> lighting optimization – is to develop tools<br />

<strong>for</strong> engaging the wireless sensor network technologies with the lighting hardware <strong>and</strong><br />

control strategies. The wireless capabilities of the components in the lighting system<br />

were enabled through the integration of wireless plat<strong>for</strong>ms with lighting hardware, such<br />

as photosensors <strong>and</strong> ballast actuators. A series of implementations were realized <strong>for</strong><br />

testing <strong>and</strong> verifying each aspect of this research as well as the per<strong>for</strong>mance of the<br />

integrated system.<br />

1.3.1 Theoretical Development<br />

This part of the research applies <strong>and</strong> incorporates various concepts, including<br />

fuzzy logic, prediction theory, smoothing method <strong>and</strong> optimization, to develop a<br />

theoretical framework <strong>for</strong> harnessing the wireless sensor network technologies to<br />

lighting control systems. The resulting three algorithms are: fuzzy sensor validation <strong>and</strong><br />

4

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