Prototyping sensor-actuator networks for home automation
Proceedings of the workshop on Real-world wireless sensor networks
Using simple light sensors to achieve smart daylight harvesting
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
SunCast: fine-grained prediction of natural sunlight levels for improved daylight harvesting
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Emerging and adaptive fuzzy logic based behaviours in activity sphere centred ambient ecologies
Pervasive and Mobile Computing
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Energy efficient office lighting systems can save 40% in electricity consumption in areas that receive significant amounts of daylight. In spite of the savings they can generate, daylighting systems are not widely used in the commercial office building. Barriers prohibiting adoption include high retrofitting costs, and difficulty estimating and maintaining worksurface illuminances. In this paper, an intelligent control framework that utilizes MEMS-based (micro-electro-mechanical systems) 'Smart Dust motes' wireless platforms is explored. Due to their small size, they can be placed directly on the worksurface. As a result, illuminance estimation and maintenance is significantly improved. Furthermore, motes functioning as actuators can be interfaced with dimming ballasts without the need to rewire the building, enabling less expensive, less disruptive retrofitting of commercial buildings.