A HADOOP-ENABLED SENSOR-ORIENTED INFORMATION SYSTEM FOR KNOWLEDGE DISCOVERY ABOUT TARGET-OF-INTEREST

Facta Universitatis, Series: Electronics and Energetics

Yu Liang¹  Chao Wu¹ 

[1] Department of Computer Science and Engineering, University of Tennessee at Chattanooga, USA$$

关键词: Sensor-oriented information system;    Hadoop Ecosystem;    target of interest;    wireless sensor network;    mathematical model;   

DOI  :  10.2298/FUEE1603437L

来源: University of Nis

【 摘 要 】

To obtain a real-time situational awareness about the specific behavior of targets-of-interest using large-scale sensory data-set, this paper presents a generic sensor-oriented information system based on Hadoop Ecosystem, which is denoted as SOIS-Hadoop for simplicity.  Robotic heterogeneous sensor nodes bound by wireless sensor network are used to track things-of-interest. Hadoop Ecosystem enables highly scalable and fault-tolerant acquisition, fusion and storage, retrieval, and processing of sensory data. In addition, SOIS-Hadoop employs temporally and spatially dependent mathematical model to formulate the expected behavior of targets-of-interest, based on which the observed behavior of targets can be analyzed and evaluated.  Using two real-world sensor-oriented information processing and analysis problems as examples, the mechanism of SOIS-Hadoop is also presented and validated in detail.

【 授权许可】

Unknown