Big Data Inspired Data Sensing, Processing and Networking Technologies
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 369
Special Issue Editors
Interests: industrial engineering; images; tomography; gamma rays; detectors
Special Issues, Collections and Topics in MDPI journals
Interests: computational intelligence; applied artificial intelligence; clustering; machine intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Big data are the current big thing in computing after cloud computing, and they are on par with the software-defined networks (SDN) in the communications and networks field. Big data refer to large, diverse, complex, typically distributed data sets generated from various sources such as sensors, emails, social network websites, online transactions, and/or all other digital sources available today and in the future. Because that big data concept plays a significant role in current IT technologies, this Special Issue is addressed to the promotion of new technologies showing its key aspects in data sensing, data processing, and data communications.
This Special Issue creates a forum for researchers, developers, and practitioners from both academia and industry to publish key results and to disseminate state-of-the-art concepts and techniques in all aspects of big data advancement.
This Special Issue seeks innovative big-data-inspired technologies works on a wide range of research topics, spanning both theoretical and systems research, including results from industry and academic/industrial collaborations, related but not restricted to the following topics:
- Sensor and ad hoc networks;
- Big data systems;
- Cyberphysical systems;
- MapReduce applications;
- Cloud computing;
- Security and trust;
- Energy-efficient routing;
- Blockchain technologies;
- IoT networks in smart manufacturing (industry 4.0).
Prof. Dr. Volodymyr Mosorov
Dr. Jacek Kucharski
Guest Editors
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