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Model-driven adaptive wireless sensing for environmental healthcare feedback systems | IEEE Conference Publication | IEEE Xplore

Model-driven adaptive wireless sensing for environmental healthcare feedback systems


Abstract:

While the connectivity, sensing, and computational capabilities of today's smartphones have increased, congestion in wireless channels and energy consumption remain major...Show More

Abstract:

While the connectivity, sensing, and computational capabilities of today's smartphones have increased, congestion in wireless channels and energy consumption remain major issues. We present a technique for model-driven adaptive environmental sensing, designed to reduce the amount of data that is communicated over the cellular network. In simulations of an exposure monitoring system, our technique reduced the number of messages sent by 85%, obtained power savings of 80% while generating a global model of pollution with error of maximum 0.5 ppm, a negligible amount for the application of interest.
Date of Conference: 10-15 June 2012
Date Added to IEEE Xplore: 29 November 2012
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Conference Location: Ottawa, ON, Canada

References

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