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Overview of Data Routing Approaches for Wireless Sensor Networks
Open AccessArticle

An Environmental Monitoring System for Managing Spatiotemporal Sensor Data over Sensor Networks

1
Robot/Cognitive System Research Department, Electronics & Telecommunication Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, Korea
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Database/Bioinformatics Laboratory, Chungbuk National University, 12 Gaeshindong, Cheongju, Chungbuk, 361-763, Korea
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Faculty of Information Technology, University of Engineering and Technology, VNU, 144 Xuan Thuy, Cau Giay, Hanoi 10000, Vietnam
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Department of Cyber Environment Development, Supercomputing Center, Korea Institute of Science and Technology Information, 245 Daehak-ro, Yuseong-gu, Daejeon 305-806, Korea
*
Authors to whom correspondence should be addressed.
Sensors 2012, 12(4), 3997-4015; https://doi.org/10.3390/s120403997
Received: 25 February 2012 / Revised: 13 March 2012 / Accepted: 21 March 2012 / Published: 27 March 2012
(This article belongs to the Section Sensor Networks)
In a wireless sensor network, sensors collect data about natural phenomena and transmit them to a server in real-time. Many studies have been conducted focusing on the processing of continuous queries in an approximate form. However, this approach is difficult to apply to environmental applications which require the correct data to be stored. In this paper, we propose a weather monitoring system for handling and storing the sensor data stream in real-time in order to support continuous spatial and/or temporal queries. In our system, we exploit two time-based insertion methods to store the sensor data stream and reduce the number of managed tuples, without losing any of the raw data which are useful for queries, by using the sensors’ temporal attributes. In addition, we offer a method for reducing the cost of the join operations used in processing spatiotemporal queries by filtering out a list of irrelevant sensors from query range before making a join operation. In the results of the performance evaluation, the number of tuples obtained from the data stream is reduced by about 30% in comparison to a naïve approach, thereby decreasing the query execution time. View Full-Text
Keywords: wireless sensor network; senor data stream; spatiotemporal continuous query processing; data stream management system wireless sensor network; senor data stream; spatiotemporal continuous query processing; data stream management system
MDPI and ACS Style

Ha, S.W.; Lee, Y.K.; Vu, T.H.N.; Jung, Y.J.; Ryu, K.H. An Environmental Monitoring System for Managing Spatiotemporal Sensor Data over Sensor Networks. Sensors 2012, 12, 3997-4015.

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