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Conference Paper
Spatiotemporal Data Stream Management over Sensor Network Application
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- Authors
- Su Wook Ha, Yang Koo Lee, Thi Hong Nhan Vu, Keun Ho Ryu
- Issue Date
- 2011-11
- Citation
- International Conference on Advancements in Computing Technology (ICACT) 2011, pp.1-7
- Language
- English
- Type
- Conference Paper
- 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 such environmental applications which require the correct data to be stored. In this paper, we propose a system architecture for handling and storing the sensor data stream in real-time in order to support spatial and/or temporal continuous 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. We then implement a climate monitoring application based on the proposed system architecture. 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.
- KSP Keywords
- Climate monitoring, Continuous queries, Environmental applications, Monitoring applications, Natural phenomena, Network applications, Performance evaluation, Query execution time, Real-Time, Spatiotemporal data, System architecture