The inherent control flexibility implied by solid-state lighting - united with the rich details offered by sensor
networks - prompts us to rethink lighting control. In this research, we propose several techniques for measuring
work surface illuminance and ambient light using a sensor network. The primary goal of this research is to
measure work surface illuminance without distraction to the user. We discuss these techniques, including the
lessons learned from our prior research. We present a new method for measuring the illuminance contribution
of an arbitrary luminaire at the work surface by decomposing the modulated light into its fundamental and
harmonic components.
Motivated by opportunities in smart lighting, energy efficiency, and ubiquitous sensing, we present the design
of polychromatic solid-state lighting controlled using a sensor network. We developed both a spectrally tunable
light source and an interactive lighting testbed to study the effects of systems that adjust in response to changing
environmental lighting conditions and users' requirements of color and intensity. Using both linear and nonlinear
optimization, the setpoints of overdetermined systems (greater than three wavelengths) and the energy consumption
of the network are adjusted according to the room's lighting conditions (e.g., lux and color temperature of
multiple fixtures). Using these techniques, it is possible to maximize luminous efficacy or the color rendering
index for a given intensity and color temperature. We detail the system modeling, design, optical calibration,
and control theory required to modulate the luminous output and minimize wasted energy.
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