Model-driven Adaptive Wireless Sensing for Environmental Healthcare Feedback Systems

被引：0

作者：

Nikzad, Nima ^{[1
]}

Yang, Jinseok ^{[2
]}

Zappi, Piero ^{[1
]}

Rosing, Tajana Simunic ^{[1
]}

Krishnaswamy, Dilip ^{[3
]}

机构：

[1] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA

[2] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA

[3] Qualcomm Res Ctr, San Diego, CA USA

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2012年

关键词：

Energy-efficiency; wireless healthcare; adaptive sensing; environmental sensing;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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.

引用

页数：6

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