Original scientific paper

https://doi.org/10.7305/automatika.54-4.419

Building the Data Association Network of Sensors in the Internet of Things

Xiao Wei ; School of Computer Engineering and Science, Shanghai University, Shanghai, China
Qing Li ; Department of Computer Science, City University of Hong Kong, Hong Kong
Feiyue Ye ; School of Computer Engineering and Science, Shanghai University, China, 200072
Jun Zhang ; School of Computer Engineering and Science, Shanghai University, China, 200072
Rongfang Bie ; Information Science and Technology, Beijing Normal University, Beijing, China

Abstract

In the Internet of Things, wireless sensor networks (WSN) is in charge of gathering and transferring environment data. It is an essential work to mine data semantic in WSN in the data derived from sensors to improve the WSN. This paper proposes the Data Association Network of sensors (DAN) to organize the mined association semantic relations among sensors into an effective form. Because DAN holds the rich data semantic of WSN, it can improve WSN in some aspects, such as detecting the abnormal sensors, simulating the data of faulty sensors, or optimizing the topology of WSN. Experimental results show that the proposed method can mine the associated relations among sensor nodes effectively, and the DAN is helpful in solving some problems of WSN.

Keywords

Data Mining on IoT; Data Association of Sensors; Data Association Network of Sensors

Hrčak ID:

114765

URI

https://hrcak.srce.hr/114765

Publication date:

14.1.2014.

Article data in other languages: croatian

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