Empowering the Future Generation Cloud Systems for Internet of Things
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (25 October 2023) | Viewed by 7717
Special Issue Editors
Interests: cloud computing; IoT; machine learning; mobile networks; computer networks; future generation networks
Interests: IoT; blockchain; cloud computing; machine learning; future generation networks
Special Issue Information
Dear Colleagues,
With significant advances in sensing and communication technologies, the Internet of Things (IoT) plays an increasingly important role in connecting the physical and digital worlds in various domains, such as smart city, healthcare, intelligent transportation, forest protection, and environmental monitoring. However, there are still many challenges for current IoT systems to effectively handle billions of devices with huge data generated from IoT devices to ensure low latency, energy efficiency, and so on. The convergence of technologies—from edge computing to cloud, the Internet of Things (IoT), blockchain, and Artificial Intelligence (AI)—potentially contributes toward addressing the above issues and blurring the lines between the physical and digital worlds.
In this Special Issue, we seek state-of-the-art approaches, methodologies, and key technologies in the design, development, deployment and innovative use of edge, cloud, AI, and blockchain for the Internet of Things.
Topics include but are not limited to the following:
- Novel theories, concepts, and paradigms of the convergence of IoT, AI, blockchain, and edge–cloud;
- Architecture design between cloud/fog/edge for the IoT;
- Distributed computing architectures/algorithms/models for the IoT;
- Framework, algorithms, and protocol design for IoT cloud;
- Management—scheduling, energy, resource scaling, deployment, orchestration, monitoring, benchmarking, and metering for IoT cloud;
- Dynamic resource provision and consuming for IoT cloud;
- Machine learning, AI, and other innovative approaches for IoT cloud/fog/edge communication;
- Models of convergence technologies for mission-critical applications such as smart grid, healthcare, connected vehicles, etc.;
- Distributed ledger technology (DLT), blockchain, and smart contract for IoT cloud;
- Blockchain-based serverless edge computing for the IoT;
- Trustless systems for data ownership and data management in IoT cloud;
- Digital twin and metaverse using IoT cloud;
- Security, privacy, and trustworthiness for IoT cloud.
Prof. Dr. Younghan Kim
Dr. Ngoc-Thanh Dinh
Prof. Dr. Min Wei
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. Sensors 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 2600 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
- Internet of Things
- cloud
- edge
- AI
- machine learning
- blockchain
- metaverse
- convergence technologies
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
