Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Digital Signal Processing: Principles, Devices and Applications
Digital Signal Processing: Principles, Devices and Applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Issues in data stream management
ACM SIGMOD Record
The VLDB Journal — The International Journal on Very Large Data Bases
StatStream: statistical monitoring of thousands of data streams in real time
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Detecting change in data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Learning from Data Streams: Processing Techniques in Sensor Networks
Learning from Data Streams: Processing Techniques in Sensor Networks
XStream: a Signal-Oriented Data Stream Management System
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Detecting changes in unlabeled data streams using martingale
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Decentralized Change Detection in Wireless Sensor Network Using DFT-based Synopsis
MDM '11 Proceedings of the 2011 IEEE 12th International Conference on Mobile Data Management - Volume 01
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Change detection is the process of identifying differences in the state of an object or phenomenon by observing it at different times. This problem has been researched and applied in many fields for a long time. However, designing and developing a change detection algorithm in sensor data streams is a challenging task due to the inherent difficulties in developing change detection scheme and the restricted resources of sensor network. This paper proposes a general framework for detecting changes in sensor data streams by using data synopsis structures extracted from sensor data streams. We design and implement a specific change detection algorithm by using Discrete Fourier Transform (DFT) to extract DFT coefficients as synopsis structures. We make empirical evaluations of the proposed algorithms with both synthetic and real data to show the effectiveness and the deployment potential of our change detection schemes in sensor data streams.