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Journal Article
An Environmental Monitoring System for Managing Spatiotemporal Sensor Data over Sensor Networks
- Authors
- Su Wook Ha, Yang Koo Lee, Thi Hong Nhan Vu, Young Jin Jung, Keun Ho Ryu
- Issue Date
- 2012-04
- Citation
- Sensors, v.12, no.4, pp.3997-4015
- ISSN
- 1424-8220
- Publisher
- MDPI AG
- Language
- English
- Type
- Journal Article
- Abstract
- 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 na챦ve approach, thereby decreasing the query execution time. © 2012 by the authors; licensee MDPI, Basel, Switzerland.
- KSP Keywords
- Continuous queries, Data stream, Environmental applications, Environmental monitoring system, Join Operation, Natural phenomena, Performance evaluation, Query execution time, Raw Data, Real-time, Time Based
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
