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A rule-based acceleration data processing engine for small sensor node
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Source Middleware Conference archive
Proceedings of the 3rd international workshop on Middleware for sensor networks table of contents
Leuven, Belgium
Pages 1-6  
Year of Publication: 2008
ISBN:978-1-60558-366-2
Authors
Kenji Kodama  Kobe University
Naotaka Fujita  Kobe University
Yutaka Yanagisawa  NTT Communication Science Laboratories
Tsutomu Terada  Kobe University
Masahiko Tsukamoto  Kobe University
Publisher
ACM  New York, NY, USA
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ABSTRACT

In recent years, various small sensor nodes have been developed for recognizing real world situations and events for the development of context-aware systems. We consider that the acceleration sensor is one crucial element for recognizing various types of situations because it has rich and simple information. An application system using acceleration data requires the following features: 1) rapid processing of data without large memory since the amount of acceleration data is much greater than the amount of other sensor data, 2) a node that reduces the amount of data sent to a server, and 3) systems that can be easily configured by users at low cost. Current sensor nodes, however, do not have enough functions to satisfy these requirements. We propose a rule-based data processing engine for processing acceleration data. Our proposed engine rewrites the rules on each node with a few bytes of data. We evaluated our rule-based engine on our small sensor node called the Motion sensing and Communication Minimized Chip (MoCoMi-Chip).


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.

 
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Collaborative Colleagues:
Kenji Kodama: colleagues
Naotaka Fujita: colleagues
Yutaka Yanagisawa: colleagues
Tsutomu Terada: colleagues
Masahiko Tsukamoto: colleagues