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2017-01-10 16:15:31
2018-08-12
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IEEE Access Special Session:
Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial Internet of Things
Scope
With growing attention from both academia and industry, industrial internet of things (IIoT) comprised of a multitude of connected devices is supposed to monitor, collect, exchange, analyze, and further instantly act on information to intelligently change the industrial device’s behavior or the industrial environment (e.g., autonomous reaction to unexpected changes in production by effectively detecting failures and triggering maintenance processes). Toward this goal, the convergence of sensor networks, cloud computing, and big data in IIoT is recently identified as an essential component. Specifically, to capture various data in IIoT, sensor networks are deployed. Meanwhile, to store and process data powerfully in IIoT, cloud computing platforms are developed. Moreover, to glean valuable findings from the massive data in IIoT, big data analytics tools are utilized. However, to integrate sensor networks, cloud computing, and big data in IIoT in a robust way, there are a lot of tough issues to be solved with respect to various aspects (e.g., framework, greenness, security, quality of service, etc.).
Therefore, this Special Section in IEEE Access aims to solicit original technical papers with novel contributions on the convergence of sensor networks, cloud computing, and big data in IIoT. Tutorial or survey papers will also be considered. Submissions should focus on the convergence (i.e., the contemporaneous utilization of at least two of the three technologies - sensor networks, cloud computing, and big data in IIoT). Submissions that work on the experimental implementation of the convergence of sensor networks, cloud computing, and big data in IIoT are especially welcome.
Topics of interest include, but are not limited to:
l Frameworks that integrate sensor networks, cloud computing, and big data in IIoT
l Data gathering in the convergence of sensor networks, cloud computing, and big data in IIoT
l Green mechanisms that integrate sensor networks, cloud computing, and big data in IIoT
l Data communication in the convergence of sensor networks, cloud computing, and big data in IIoT
l Security techniques that integrate sensor networks, cloud computing, and big data in IIoT
l Data computing in the convergence of sensor networks, cloud computing, and big data in IIoT
l Quality of service enhancement methods that integrate sensor networks, cloud computing, and big data in IIoT
l Data fusion in the convergence of sensor networks, cloud computing, and big data in IIoT
l Novel applications that integrate sensor networks, cloud computing, and big data in IIoT
l Data mining in the convergence of sensor networks, cloud computing, and big data in IIoT
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.
Submission Deadline: December 10th, 2017
Associate Editor: Lei Shu, Guangdong University of Petrochemical Technology, China
Guest Editors:
1) Vincenzo Piuri, Universita' degli Studi di Milano, Italy
2) Chunsheng Zhu, The University of British Columbia, Canada
3) Xuebin Chen, North China University of Science and Technology, China
4) Mithun Mukherjee, Guangdong University of Petrochemical Technology, China
IEEE Access Editor in Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
Paper submission: Contact Associate Editor and submit manuscript to: http://mc.manuscriptcentral.com/ieee-access
For information regarding IEEE Access including its publication policy and fees, please visit the website http://www.ieee.org/ieee-access
For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, ieeeaccess@ieee.org)
