Abstract—Recently, environmental observation gains in
importance as primary sensor network application for actual
use. To provide a practical environmental observation service,
an appropriate mechanism for access and control of distributed
sensor data and sensor networks is required. We propose a new
web-based sensor data management system that extends the
existing typical Sensor Web architecture for distributed
environmental observation. Our system connects the Internet
and remote places for environmental observation with networks
that have relatively narrow bandwidth, such as cell-phone lines
or satellite connections. It manages distributed sensor data in
remote places and controls traffics between the Internet and
remote places properly to provide practical utility to users of
applications. We optimize our system for gathering requested
sensor data on narrow bandwidth network. It allows users to
gather sensor data on demand. Therefore users can obtain
necessary and sufficient sensor data. On the other hand, it may
fail when additional traffic occurs because of bandwidth
restrictions. Consequently we introduce a query management
mechanism for prevention of communication faults. We confirm
this system can provide necessary and sufficient sensor data for
multiple users through the simulation that estimates an
appropriate network bandwidth to transfer sensor data from
remote places.
Index Terms—Sensor Web, sensor network, distributed data
management, query processing, environmental observation
T. Torii is with the Graduate School of Science and Engineering,
Ritsumeikan University, Kusatsu, Shiga 525-8577 Japan (e-mail:
ttorii@sol.cs.ritsumei.ac.jp).
Y. Yokota and E. Okubo are with the College of Information Science and
Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577 Japan
(e-mail: yyokota@cs.ritsumei.ac.jp, okubo@is.ritsumei.ac.jp).
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Cite:Takahiro Torii, Yusuke Yokota, and Eiji Okubo, "A Web-Based Sensor Data Management System for Distributed Environmental Observation," Journal of Advances in Computer Networks vol. 1, no. 2, pp. 105-109, 2013.
