Step-wise context extraction in AoK mule system

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Step-wise context extraction in AoK mule system

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Conference On Embedded Networked Sensor Systems archive
Proceedings of the 4th international conference on Embedded networked sensor systems table of contents

Boulder, Colorado, USA

DEMONSTRATION SESSION: Demonstration papers table of contents

Pages: 379 - 380

Year of Publication: 2006

ISBN:1-59593-343-3

Authors

Yuichi Uehara	Tokyo Denki University
Masato Mori	Tokyo Denki University
Nayuta Ishii	Tokyo Denki University
Yoshito Tobe	Tokyo Denki University
Yoh Shiraishi	The University of Tokyo

Sponsors

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCOMM: ACM Special Interest Group on Data Communication
SIGOPS: ACM Special Interest Group on Operating Systems
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
ACM: Association for Computing Machinery
SIGBED: ACM Special Interest Group on Embedded Systems
SIGARCH: ACM Special Interest Group on Computer Architecture

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ACM New York, NY, USA

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ABSTRACT

Extracting human's health condition using wireless sensors impose a challenge in the balance between data storage and CPU power. Taking available resources on nodes into consideration, we apply Step-wise Context Extraction (SCE) to AoK mule system [4]. SCE compresses data obtained at the mule into a context as the data is forwarded. In this demonstration, we show how the raw data is converted into the context in the AoK system.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Adidas 1, http://www.personal.psu.edu/users/z/l/zlr102/
	2	MicaZ, http://www.xbow.com/products/productsdetails.aspx?sid=101
	3	Nike+ ipod, http://www.apple.com/ipod/nike/
	4	Uehara, Y., Uchiyama, T., Mori, M., Saito, H., and Tobe, Y., "Always-on Karte: A System for Elderly People's Healthcare Using Wireless Sensors," 3rd International Conference on Networked Sensing Systems (INSS 2006), Chicago, May 2006