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: 20 September 2024 | Viewed by 1718
Special Issue Editors
Interests: analytics; application development; artificial intelligence; big data; delivery; energy efficiency; Internet of Things; privacy; systems programming; security
Interests: haptics; IoT; HCI
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- AI - IoT
- analytics
- big data
- cloud computing
- data delivery
- edge computing
- machine learning
- sustainability
- security
