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

Abstract

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