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Open AccessArticle

A Temporal Adaptive Access Mechanism for Data Fusion in an IoT Environment

College of Computer & Communication Engineering, China University of Petroleum (East China), Tsingdao 266580, China
Department of Informatics, Beijing University of Posts and Telecommunications, Beijing 100876, China
Information Sciences and Technology Department, Pennsylvania State University, Abington, PA 19001, USA
Institute of Smart City, Zhengzhou University, Zhengzhou 450001, China
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2018, 18(12), 4205;
Received: 29 October 2018 / Revised: 26 November 2018 / Accepted: 27 November 2018 / Published: 30 November 2018
(This article belongs to the Special Issue Data and Information Fusion for Wireless Sensor Networks)
Data fusion in the Internet of Things (IoT) environment demands collecting and processing a wide variety of data with mixed time characteristics, both real-time and non-real-time data. Most of the previous research on data fusion was about the data processing aspect; however, successful data transmission is a prerequisite for high-performance data fusion in IoT. On the other hand, research on data transmissions in IoT mainly focuses on networking without sufficiently considering the special requirements of the upper-layer applications, such as the data fusion process, that are consuming the transmitted data. In this paper, we tackle the problem of data transmission for data fusion in an IoT environment by proposing a distributed scheduling mechanism VD-CSMA in wireless sensor networks, which considers the values for data fusion, as well as the delay constraints of packets when determining their priority levels for transmission. Simulation results have shown that VD-CSMA may enhance both throughput and delay performance of data transmission as compared to the typical scheduling schemes used for data fusion in IoT. View Full-Text
Keywords: Internet of Things; data fusion; real/non-real time; distributed scheduling algorithm Internet of Things; data fusion; real/non-real time; distributed scheduling algorithm
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Xu, J.; Liu, S.; Lu, X.; Li, L.; Liang, H.; Duan, Q.; Liu, R. A Temporal Adaptive Access Mechanism for Data Fusion in an IoT Environment. Sensors 2018, 18, 4205.

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