A Stream Processing System for Multisource Heterogeneous Sensor Data. (17th May 2016)

• Record Type: Journal Article
• Authors: Hu, Liang; Sun, Rui; Wang, Feng; Fei, Xiuhong; Zhao, Kuo
• Other Names: Fu Liling Academic Editor.
• Is Part Of: Journal of sensors. Volume 2016(2016)
• Publication Date: 2016-05-17
• Subjects: Detectors -- Periodicals; 681.205
• DOI: 10.1155/2016/4287834
• Languages: English
• ISSNs: 1687-725X

Abstract

Abstract : With the rapid development of the Internet of Things (IoT), a variety of sensor data are generated around everyone's life. New research perspective regarding the streaming sensor data processing of the IoT has been raised as a hot research topic that is precisely the theme of this paper. Our study serves to provide guidance regarding the practical aspects of the IoT. Such guidance is rarely mentioned in the current research in which the focus has been more on theory and less on issues describing how to set up a practical system. In our study, we employ numerous open source projects to establish a distributed real time system to process streaming data of the IoT. Two urgent issues have been solved in our study that are (1) multisource heterogeneous sensor data integration and (2) processing streaming sensor data in real time manner with low latency. Furthermore, we set up a real time system to process streaming heterogeneous sensor data from multiple sources with low latency. Our tests are performed using field test data derived from environmental monitoring sensor data collected from indoor environment for system validation. The results show that our proposed system is valid and efficient for multisource heterogeneous sensor data integration and streaming data processing in real time manner.