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DMSN
2004
ACM

Confidence-based data management for personal area sensor networks

10 years 2 months ago
Confidence-based data management for personal area sensor networks
The military is working on embedding sensors in a "smart uniform" that will monitor key biological parameters to determine the physiological status of a soldier. The soldier's status can only be determined accurately by combining the readings from several sensors using sophisticated physiological models. Unfortunately, the physical environment and the low-bandwidth, push-based personal-area network (PAN) introduce uncertainty in the inputs to the models. Thus the model must produce a confidence level as well as a physiological status value. This paper explores how confidence levels can be used to influence data management decisions. In particular, we look at power-efficient ways to keep the confidence above a given threshold. We also contrast push-based broadcast schedules with other schedules that are made possible by two-way communication.
Nesime Tatbul, Mark Buller, Reed Hoyt, Steve Mulle
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where DMSN
Authors Nesime Tatbul, Mark Buller, Reed Hoyt, Steve Mullen, Stanley B. Zdonik
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