Paper Info
Title
A System Architecture for Monitoring Sensor Data Stream
Abstract
A wireless sensor network consists of many sensors that collect and transmit physical or environmental conditions at different locations to a server continuously. Many researches mainly focus on processing continuous queries on real-time data stream. However, they do not concern the problem of storing the historical data, which is mandatory to the historical queries. In this paper, we propose a system architecture for handling and storing sensor data stream in real-time to support the spatial and/or temporal queries besides continuous queries. We exploit a segment-based method to store the sensor data stream and reduce the managed tuples without any loss of information, which lead to the improvement of the accuracy of query results. In addition, we offer a method to reduce the cost of join operations in processing spatiotemporal queries by filtering out the list of irrelevant sensors from the query range before making the join operation. We then present a design of the system architecture for processing spatial and/or temporal queries. Finally, we implement a climate monitoring application system based on our proposed system architecture.
Year
DOI
Venue
2007
10.1109/CIT.2007.36
CIT
Keywords
Field
DocType
real-time data stream,continuous query,sensor data stream,monitoring sensor data stream,historical data,proposed system architecture,system architecture,processing spatial,temporal query,irrelevant sensor,climate monitoring application system,real time data,real time,wireless sensor networks,wireless sensor network,software architecture
Data stream,Computer science,Tuple,Filter (signal processing),Real-time computing,Exploit,Systems architecture,Software architecture,Wireless sensor network,Cost reduction,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-2983-6
4
0.40
References 
Authors
12
3
Name
Order
Citations
PageRank
Yang Koo Lee1448.62
Ling Wang2123.92
Keun Ho Ryu388385.61