Paper Info
Title
DAQ-Middleware: Data Acquisition Middleware Based on Internet of Things
Abstract
With envisioned Industry 4.0, the Internet of Things (IoT) has been widely used in many fields. Unfortunately, the format, type, and access methods of data sources in different areas are diverse, and this makes upper development complex and low efficiency of data acquisition. To address this issue, a novel scalable data acquisition middleware (DAQ-Middleware) is proposed in this paper. Through the design of the architecture model, and the standardization of access methods and interfaces, DAQ-Middleware implements fast access to heterogeneous data sources and provides standardized formatted sensing data for IoT applications. Furthermore, in order to improve the rate of sensor data acquisition, we also propose a parallel data acquisition algorithm and an acquisition efficiency optimization heuristic method. Via the development and application of proposed DAQ-Middleware, this middleware has been validated in the aspect of the rationality, feasibility, development efficiency and data acquisition efficiency. Our results confirm that DAQ-Middleware can achieve the logical isolation between the data sources and the IoT application systems, satisfy the automatic fast access to the heterogeneous data sources, reduce development cost, and enhance data acquisition efficiency.
Year
DOI
Venue
2017
10.1109/BIGCOM.2017.61
2017 3rd International Conference on Big Data Computing and Communications (BIGCOM)
Keywords
Field
DocType
Internet of Things,Data acquisition,Middleware,Standardized interface,Heuristic
Middleware,Data mining,Web of Things,Heuristic,Computer architecture,Middleware (distributed applications),Access method,Computer science,Data acquisition,Standardization,Database,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-5386-3350-2
0
0.34
References 
Authors
10
5
Name
Order
Citations
PageRank
Zhijin Qiu182.79
Zhongwen Guo243.85
Shuai Guo321.38
Yingjian Liu432.82
Yu Wang5143287.32