Title: Research and application of ambient air quality monitoring service based on data fusion

Authors: Jingang Li; Ting He

Addresses: College of Software, Harbin University of Science and Technology, Harbin, 150010, China ' College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China

Abstract: Requirement of air quality has become higher with the living standard development and population increase. Therefore, establish the efficient ambient air data detection and fusion service system based on wireless sensor network and device cloud will be more convenient for searching existent problems that can figure them out with benefit living and leave away from the damage of air pollution. Moreover, in order to improve the accuracy and reliability of multi-source heterogeneous data in collection process according to the analysis of the limitations and the features of data collected, a proper data fusion approach based on extended Dempster-Shafer theory is proposed to expose the faulty information of sensor nodes for monitoring service. Results validate that the service can effectively improve the ability in terms of flexibility and extensibility, decrease the inherent uncertainty of the signal detection and reduce the decision-making risk.

Keywords: monitoring service; device cloud; wireless sensor network; WSN; data fusion.

DOI: 10.1504/IJSTM.2019.101904

International Journal of Services Technology and Management, 2019 Vol.25 No.5/6, pp.542 - 555

Received: 15 Jul 2017
Accepted: 17 Oct 2017
Published online: 30 Aug 2019 *

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