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Future Internet
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AI and IoT technologies in Smart Cities
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AI and IoT technologies in Smart Cities

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (20 September 2021) | Viewed by 36071

Special Issue Editor

Dr. Dhaval Thakker

E-Mail Website
Guest Editor
Department of Computer Science, University of Bradford, Bradford BD7 1DP, UK
Interests: Internet of Things (IoT); smart cities; citizen Science; AI/knowledge engineering; big data
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In 2017, there were more than 250 smart cities projects in 178 cities worldwide. The prevalence of building smart cities across the globe is largely driven by the use of Internet of Things (IoT) and Big data technologies, with ‘smartness’ attributed to the use of Artificial Intelligence(AI) techniques and tools. The scalability offered by big data processing frameworks, and the availability of hardware to support it, has afforded a new AI revolution in recent times. There have been great strides in making cities smarter with AI-based solutions; however, there is still a long way to go, and most cities worldwide are at the early stages of their journey.

This Special Issue welcomes original research papers focusing on theoretical aspects and/or applications that focus on the use of IoT with AI, such as Machine/Deep learning, Natural Language processing, Semantics (Explainable AI) to address the following smart cities challenges of:

  • Air pollution and traffic congestion;
  • Environmental challenges (such as flooding);
  • Smart waste management (including circular economy approaches);
  • Smart energy and water management.

We also welcome papers with interdisciplinary approaches that consider the following topics:

  • Citizen inclusion with citizen science;
  • Security and privacy problems;
  • Governance and regulatory frameworks;
  • Sustainable smart cities.

Dr. Dhaval Thakker
Guest Editor

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.

Published Papers (3 papers)

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Research

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24 pages, 1040 KiB  
Article
Use of Social Media Data in Disaster Management: A Survey
by Jedsada Phengsuwan, Tejal Shah, Nipun Balan Thekkummal, Zhenyu Wen, Rui Sun, Divya Pullarkatt, Hemalatha Thirugnanam, Maneesha Vinodini Ramesh, Graham Morgan, Philip James and Rajiv Ranjan
Future Internet 2021, 13(2), 46; https://doi.org/10.3390/fi13020046 - 12 Feb 2021
Cited by 43 | Viewed by 10948
Abstract
Social media has played a significant role in disaster management, as it enables the general public to contribute to the monitoring of disasters by reporting incidents related to disaster events. However, the vast volume and wide variety of generated social media data create [...] Read more.
Social media has played a significant role in disaster management, as it enables the general public to contribute to the monitoring of disasters by reporting incidents related to disaster events. However, the vast volume and wide variety of generated social media data create an obstacle in disaster management by limiting the availability of actionable information from social media. Several approaches have therefore been proposed in the literature to cope with the challenges of social media data for disaster management. To the best of our knowledge, there is no published literature on social media data management and analysis that identifies the research problems and provides a research taxonomy for the classification of the common research issues. In this paper, we provide a survey of how social media data contribute to disaster management and the methodologies for social media data management and analysis in disaster management. This survey includes the methodologies for social media data classification and event detection as well as spatial and temporal information extraction. Furthermore, a taxonomy of the research dimensions of social media data management and analysis for disaster management is also proposed, which is then applied to a survey of existing literature and to discuss the core advantages and disadvantages of the various methodologies. Full article
(This article belongs to the Special Issue AI and IoT technologies in Smart Cities)
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22 pages, 3513 KiB  
Article
Citizen Science on Twitter: Using Data Analytics to Understand Conversations and Networks
by Suvodeep Mazumdar and Dhavalkumar Thakker
Future Internet 2020, 12(12), 210; https://doi.org/10.3390/fi12120210 - 26 Nov 2020
Cited by 12 | Viewed by 3912
Abstract
This paper presents a long-term study on how the public engage with discussions around citizen science and crowdsourcing topics. With progress in sensor technologies and IoT, our cities and neighbourhoods are increasingly sensed, measured and observed. While such data are often used to [...] Read more.
This paper presents a long-term study on how the public engage with discussions around citizen science and crowdsourcing topics. With progress in sensor technologies and IoT, our cities and neighbourhoods are increasingly sensed, measured and observed. While such data are often used to inform citizen science projects, it is still difficult to understand how citizens and communities discuss citizen science activities and engage with citizen science projects. Understanding these engagements in greater depth will provide citizen scientists, project owners, practitioners and the generic public with insights around how social media can be used to share citizen science related topics, particularly to help increase visibility, influence change and in general and raise awareness on topics. To the knowledge of the authors, this is the first large-scale study on understanding how such information is discussed on Twitter, particularly outside the scope of individual projects. The paper reports on the wide variety of topics (e.g., politics, news, ecological observations) being discussed on social media and a wide variety of network types and the varied roles played by users in sharing information in Twitter. Based on these findings, the paper highlights recommendations for stakeholders for engaging with citizen science topics. Full article
(This article belongs to the Special Issue AI and IoT technologies in Smart Cities)
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Review

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19 pages, 2039 KiB  
Review
IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review
by Taher M. Ghazal, Mohammad Kamrul Hasan, Muhammad Turki Alshurideh, Haitham M. Alzoubi, Munir Ahmad, Syed Shehryar Akbar, Barween Al Kurdi and Iman A. Akour
Future Internet 2021, 13(8), 218; https://doi.org/10.3390/fi13080218 - 23 Aug 2021
Cited by 293 | Viewed by 19995
Abstract
Smart city is a collective term for technologies and concepts that are directed toward making cities efficient, technologically more advanced, greener and more socially inclusive. These concepts include technical, economic and social innovations. This term has been tossed around by various actors in [...] Read more.
Smart city is a collective term for technologies and concepts that are directed toward making cities efficient, technologically more advanced, greener and more socially inclusive. These concepts include technical, economic and social innovations. This term has been tossed around by various actors in politics, business, administration and urban planning since the 2000s to establish tech-based changes and innovations in urban areas. The idea of the smart city is used in conjunction with the utilization of digital technologies and at the same time represents a reaction to the economic, social and political challenges that post-industrial societies are confronted with at the start of the new millennium. The key focus is on dealing with challenges faced by urban society, such as environmental pollution, demographic change, population growth, healthcare, the financial crisis or scarcity of resources. In a broader sense, the term also includes non-technical innovations that make urban life more sustainable. So far, the idea of using IoT-based sensor networks for healthcare applications is a promising one with the potential of minimizing inefficiencies in the existing infrastructure. A machine learning approach is key to successful implementation of the IoT-powered wireless sensor networks for this purpose since there is large amount of data to be handled intelligently. Throughout this paper, it will be discussed in detail how AI-powered IoT and WSNs are applied in the healthcare sector. This research will be a baseline study for understanding the role of the IoT in smart cities, in particular in the healthcare sector, for future research works. Full article
(This article belongs to the Special Issue AI and IoT technologies in Smart Cities)
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