Fog Analytics for Real Time IoT Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 820
Special Issue Editors
Interests: cybersecurity for Internet of Things (IoT) applications; IoT fog analytics for real-time ICT applications (augmented reality); smart cities and real-time digital infrastructures (smart traffics and digital twins)
Special Issues, Collections and Topics in MDPI journals
Interests: green computing; Internet of Things; wireless sensor networks; internet of connected vehicles; heterogeneous networking; electronic vehicle charging infrastructure
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; computational intelligence; image processing; data analytics; big data; natural language processing; brain–computer interface
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
The Internet of Things (IoT) is creating a new era of intelligent computing and autonomous applications. However, the IoT edge devices have little or no computing resources, and they rely on remote cloud servers for data offloading and decision analytics. The dependency on a remote server is a serious concern in time-critical real time IoT applications such as in unmanned vehicle control systems where a small decision delay may result in catastrophe.
The fog network analytic can offload the data processing and decision analytics to local fog devices from remote cloud servers. The fog analytic can improve the real-time responsiveness of the IoT applications but at a greatly increased computational burden on the fog network.
In the era of explosive use of real-time IoT applications, an intelligent and efficient fog analytic system is required to enable real-time mission critical IoT applications.
This special issue aims to bring together researchers from both academia and industry in the application of novel methods for IoT fog analytics for real-time or mission-critical systems.
Topics:
The main topics of this special session include, but are not limited to, the following:
- Fog analytics for real time IoT applications
- Compact machine learning for real-time analytics
- Intelligent data synchronization and updating between IoT Sensor Datacentres
- Intelligent pricing mechanisms for Datacentres
- Data Analytics middleware for real-time applications
- Case studies for Fog data analytics
- Vehicular Computing for Smart Cities
- AI-enabled Big Data for Mission-Critical applications
- Optimization in Fog Computing/analytics
- Application of Fog Analytics for real world applications
Prof. Dr. Tony Jan
Dr. Omprakash Kaiwartya
Dr. Mukesh Prasad
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.
