Big Data Delivery, Management, and Analysis over IoT
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 September 2024) | Viewed by 3764
Special Issue Editors
Interests: analytics; application development; artificial intelligence; big data; delivery; energy efficiency; Internet of Things; privacy; systems programming; security
Interests: Internet of Things (IoT); artificial intelligence (AI); haptic communications; QoS control; big data analysis; cloud computing; digital twins
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The world has changed. New technologies, new trends, new protocols, new efficient algorithms, and systems have been used widely by civilized countries to have better and more convenient living. As applications based on “Internet of Things” (IoT) have been used widespread in every sector, many research studies provide useful information about new trends in IoT, the issues that they cause, some solutions that already exist, and various challenges that need to be solved in order to gain the benefits of Internet technology. Moreover, “Artificial Intelligence” (AI) is a technological advance that provides various solutions to various issues, which are based on the efficient delivery and security of Big Data, by taking into consideration the energy consumption and the complexity of the algorithms. This Special Issue aims to collect high-quality review papers from the fields of applied informatics. We encourage researchers from various fields within the journal’s scope to contribute review papers highlighting the latest developments in their research field or to invite relevant experts and colleagues to do so.
Topics of interest for this Special Issue include, but are not limited to, the following:
- Big Data Delivery on Internet of Artificially Intelligent Things
- Big Data Management and Analytics for IoT applications
- AI and Machine Learning applications
- AI in IoT for Sustainable Big Data Management
- AI-driven UAV Communications for Time-Critical IoT Applications
- AI and ML for Autonomous Vehicles
- Efficient data delivery and security with drones
- Intelligent Decision Systems for IoT
- Security and Privacy of IoT-based Big Data in Sustainable Cloud Computing
- Secure Monitoring System for IoT Big Data in the Cloud
- Secure Edge Communications over the IoT
- Digital Twins and Multi-Access Edge Computing for Industrial IoT
Dr. Andreas P. Plageras
Dr. Konstantinos E. Psannis
Guest Editors
Manuscript Submission Information
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Keywords
- AI - IoT
- analytics
- big data
- cloud computing
- data delivery
- edge computing
- machine learning
- sustainability
- security
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