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Future Internet
Special Issues
Advances on Cloud Computing and Internet of Things
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Advances on Cloud Computing and Internet of Things

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Network Virtualization and Edge/Fog Computing".

Deadline for manuscript submissions: closed (20 December 2021) | Viewed by 4074

Special Issue Editors

Dr. Jacopo Soldani

E-Mail Website
Guest Editor
Department of Computer Science, University of Pisa, Pisa, Italy
Interests: microservices; service-oriented computing; service-oriented architectures; cloud-native applications; cloud computing
Special Issues, Collections and Topics in MDPI journals
Dr. Antonio Celesti

E-Mail Website
Guest Editor
MIFT Department, University of Messina, Viale F. Stagno d'Alcontres, 31 98166 Messina, Italy
Interests: distributed systems; cloud computing; edge computing; Internet of Things (IoT); machine learning; assistive technology; eHealth
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Amiya Kumar Tripathy

E-Mail Website
Guest Editor
1. Department of Computer Engineering, Don Bosco Institute of Technology, Mumbai 400070, India
2. School of Science, Edith Cowan University, Joondalup, Perth, WA 6027, Australia
Interests: embedded systems & IOT; distributed machine learning & real-time systems; cyber physical systems; data science; Geo-ICT and remote sensing for agriculture
Dr. Laurent Gomez

E-Mail Website
Guest Editor
SAP Security Research, Paris, France
Interests: IOT; security and distributed systems; cybersecurity; edge computing; intelligent system decentralization

Special Issue Information

Dear Colleagues,

This Special Issue will consist of selected excellent papers from the 2021 6th International Conference on Cloud Computing and Internet of Things (CCIOT 2021), which will be held in Okinawa, Japan, on 22–24 September 2021. Contributors will be invited to submit and present papers in a wide variety of areas from concepts to applications. Topics of selected papers will include the latest research results and perspectives for future work in the IoT and cloud computing field. Related submissions outside the conference are also very welcome.

This Special Issue is dedicated to demonstrating recent advances in the IoT and cloud computing field. Papers may report on original research, discuss methodological aspects, review the current state of the art, or offer perspectives on future prospects.

These papers will be subjected to peer review and are published to widely disseminate new research results, including developments and applications.

The authors of papers submitted to CCIOT 2021 (http://www.cciot.org/) will be given the opportunity to submit extended versions of their works in this Special Issue, provided they fulfil the specific journal requirements found at https://0-www-mdpi-com.brum.beds.ac.uk/journal/futureinternet/instructions

Topics of interest include but are not limited to:

  • Internet of Things;
  • Big data analysis and artificial intelligence and deep learning;
  • Cloud computing and cloud security and cloud applications.

Dr. Jacopo Soldani
Dr. Antonio Celesti
Prof. Dr. Amiya Kumar Tripathy
Dr. Laurent Gomez
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. Future Internet is an international peer-reviewed open access monthly 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 1600 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

  • cloud computing
  • smart cities
  • cloud security
  • cloud applications
  • internet of things
  • big data analysis
  • deep learning
  • artificial intelligence
  • wireless networks

Published Papers (1 paper)

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Research

29 pages, 3667 KiB  
Article
Three Layered Architecture for Driver Behavior Analysis and Personalized Assistance with Alert Message Dissemination in 5G Envisioned Fog-IoCV
by Mazen Alowish, Yoshiaki Shiraishi, Masami Mohri and Masakatu Morii
Future Internet 2022, 14(1), 12; https://0-doi-org.brum.beds.ac.uk/10.3390/fi14010012 - 27 Dec 2021
Cited by 1 | Viewed by 2929
Abstract
The Internet of connected vehicles (IoCV) has made people more comfortable and safer while driving vehicles. This technology has made it possible to reduce road casualties; however, increased traffic and uncertainties in environments seem to be limitations to improving the safety of environments. [...] Read more.
The Internet of connected vehicles (IoCV) has made people more comfortable and safer while driving vehicles. This technology has made it possible to reduce road casualties; however, increased traffic and uncertainties in environments seem to be limitations to improving the safety of environments. In this paper, driver behavior is analyzed to provide personalized assistance and to alert surrounding vehicles in case of emergencies. The processes involved in this research are as follows. (i) Initially, the vehicles in an environment are clustered to reduce the complexity in analyzing a large number of vehicles. Multi-criterion-based hierarchical correlation clustering (MCB-HCC) is performed to dynamically cluster vehicles. Vehicular motion is detected by edge-assisted road side units (E-RSUs) by using an attention-based residual neural network (AttResNet). (ii) Driver behavior is analyzed based on the physiological parameters of drivers, vehicle on-board parameters, and environmental parameters, and driver behavior is classified into different classes by implementing a refined asynchronous advantage actor critic (RA3C) algorithm for assistance generation. (iii) If the driver’s current state is found to be an emergency state, an alert message is disseminated to the surrounding vehicles in that area and to the neighboring areas based on traffic flow by using jelly fish search optimization (JSO). If a neighboring area does not have a fog node, a virtual fog node is deployed by executing a constraint-based quantum entropy function to disseminate alert messages at ultra-low latency. (iv) Personalized assistance is provided to the driver based on behavior analysis to assist the driver by using a multi-attribute utility model, thereby preventing road accidents. The proposed driver behavior analysis and personalized assistance model are experimented on with the Network Simulator 3.26 tool, and performance was evaluated in terms of prediction error, number of alerts, number of risk maneuvers, accuracy, latency, energy consumption, false alarm rate, safety score, and alert-message dissemination efficiency. Full article
(This article belongs to the Special Issue Advances on Cloud Computing and Internet of Things)
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