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Future Internet
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Internet of Things and Artificial Intelligence for the Data-Driven Future...
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Internet of Things and Artificial Intelligence for the Data-Driven Future of Smart Cities and Environments

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".

Deadline for manuscript submissions: closed (15 December 2021) | Viewed by 12393

Special Issue Editors

Prof. Dr. Li-minn Ang (Kenneth)

E-Mail Website
Guest Editor
School of Science and Engineering, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia
Interests: computer; electrical and systems engineering; intelligent systems and data analytics; Internet of Things and wireless multimedia sensor systems; reconfigurable computing; innovative technologies for real-world systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Kah Phooi Seng

E-Mail Website
Guest Editor
School of Computer Science, The Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia
Interests: AI and intelligent systems; distributed AI; edge AI; on-device machine learning; embedded intelligence; machine learning and data analytics; Internet of Things (IoT); mobile AI software development; multimodal information processing and innovative technologies for urban and regional environments
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The smart cities of the future will be data-driven. The Internet of Things (IoT) and other emerging data-driven technologies have a major role to play in the design and development of the smart cities of the future. The IoT brings together the convergence of sensing, communications, information processing and knowledge discovery techniques to enable the creation and development of new applications and services for smart cities and environments. Technological advances in sensor technology, information and communications technology, and intelligent analytics enable efficient and effective monitoring of infrastructures, buildings, transportation, water delivery and fluid systems, waste management, and so on, in smart cities and environments. Together with the IoT, other data-driven technologies which will have an important part to play in the development of smart cities include artificial intelligence (AI), machine/deep learning, Big Data, blockchains, augmented/virtual reality (AR/VR), participatory/citizen sensing, edge computing, digital twin, and mobile/autonomous platforms. This Special Issue of Future Internet aims to collect the latest research works for the IoT and the data-driven future of smart cities and environments. Some specific topics include, but are not limited to: Internet of Things and AI for smart cities and environments; Internet of Things and machine/deep learning for smart cities and environments; Internet of Things and Big Data applications for smart cities and environments; Internet of Things and blockchains for smart cities and environments; Internet of Things and AR/VR for smart cities and environments; Internet of Things and participatory/citizen sensing for smart cities and environments; Internet of Things and edge computing for smart cities and environments; Internet of Things and digital twin for smart cities and environments; Internet of Things and autonomous platforms for smart cities and environments; other Internet of Things and data-driven applications/services for smart cities.

Dr. Li-minn Ang (Kenneth)
Prof. Dr. Kah Phooi Seng
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

  • internet of things
  • intelligent systems
  • smart city environments
  • emerging technologies
  • applications and services

Published Papers (2 papers)

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Review

50 pages, 10972 KiB  
Review
Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications
by Kenneth Li Minn Ang, Jasmine Kah Phooi Seng and Ericmoore Ngharamike
Future Internet 2022, 14(2), 49; https://0-doi-org.brum.beds.ac.uk/10.3390/fi14020049 - 31 Jan 2022
Cited by 18 | Viewed by 7530
Abstract
Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices. Mobile crowdsourcing can be seen as a new paradigm contributing to the development of the IoT. They [...] Read more.
Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices. Mobile crowdsourcing can be seen as a new paradigm contributing to the development of the IoT. They can be merged to form a new and essential platform in crowdsourcing IoT paradigm for data collection from different sources and communication mediums. This paper presents a comprehensive survey for this new Crowdsourcing IoT paradigm from four different perspectives: (1) Architectures for Crowd-IoT; (2) Trustworthy, Privacy and Security for Crowd-IoT; (3) Resources, Sharing, Storage and Energy Considerations for Crowd-IoT; and (4) Applications for Crowd-IoT. This survey paper aims to increase awareness and encourage continuing developments and innovations from the research community and industry towards the Crowdsourcing IoT paradigm. Full article
(This article belongs to the Special Issue Internet of Things and Artificial Intelligence for the Data-Driven Future of Smart Cities and Environments)
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19 pages, 2541 KiB  
Review
A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing
by Tuuli Katarina Lepasepp and William Hurst
Future Internet 2021, 13(10), 264; https://0-doi-org.brum.beds.ac.uk/10.3390/fi13100264 - 13 Oct 2021
Cited by 11 | Viewed by 4037
Abstract
Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial revolution, its applications have been widely discussed and used in many business scenarios. This concept is derived from the advantages of internet and technology, and it describes the [...] Read more.
Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial revolution, its applications have been widely discussed and used in many business scenarios. This concept is derived from the advantages of internet and technology, and it describes the efficient synchronicity of humans and computers in smart factories. By leveraging big data analysis, machine learning and robotics, the end-to-end supply chain is optimized in many ways. However, these implementations are more challenging in heavily regulated fields, such as medical device manufacturing, as incorporating new technologies into factories is restricted by the regulations in place. Moreover, the production of medical devices requires an elaborate quality analysis process to assure the best possible outcome to the patient. Therefore, this article reflects on the benefits (features) and limitations (obstacles), in addition to the various smart manufacturing trends that could be implemented within the medical device manufacturing field by conducting a systematic literature review of 104 articles sourced from four digital libraries. Out of the 7 main themes and 270 unique applied technologies, 317 features and 117 unique obstacles were identified. Furthermore, the main findings include an overview of ways in which manufacturing could be improved and optimized within a regulated setting, such as medical device manufacturing. Full article
(This article belongs to the Special Issue Internet of Things and Artificial Intelligence for the Data-Driven Future of Smart Cities and Environments)
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