A rule-based acceleration data processing engine for small sensor node

Authors:
Kenji Kodama;Naotaka Fujita;Yutaka Yanagisawa;Tsutomu Terada;Masahiko Tsukamoto
Affiliations:
Kobe University;Kobe University;NTT Communication Science Laboratories;Kobe University;Kobe University
Venue:
Proceedings of the 3rd international workshop on Middleware for sensor networks
Year:
2008

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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).