Cloud-Based IoT Applications for Smart Cities

A special issue of Smart Cities (ISSN 2624-6511). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 112066

Special Issue Editors


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Guest Editor
Institute of Information Technology, Lodz University of Technology, 90-924 Lodz, Poland
Interests: software engineering; information systems security; multi-agent-based systems; cloud computing; internet of things; mobile security; blockchain; data analysis; machine learning; data processing; distributed systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Microelectronics and Computer Science, Lodz University of Technology, 90-924 Lodz, Poland
Interests: renewable energy sources; photovoltaics; energy management; embedded systems; Internet of Things; data processing

Special Issue Information

Dear Colleagues,

The idea of the smart city connects many IT systems that improve and automate various aspects of everyday life. The effect of implementing the smart city idea is the popularization of access to information about the city, plans for further development, improving the work of offices and municipal institutions, better investment conditions, improved communication, improving the functioning of municipal services, improving the conditions of the environment, increasing safety, increasing the number of cultural and sports activities and opportunities to spend free time, as well as the active participation of residents in development and improvement.

Thanks to Internet of Things devices, it is possible to automate tedious processes related to measurement and data transfer, and it is also possible to control the mechanisms remotely. In a smart city, there are many different types of sensors that collect information about the environment and send it to the central office. The question is: What to do with such a huge amount of data? Where to store it and how to manage it effectively? This is where cloud computing comes in handy.

The main goal of this Special Issue is to analyze the possibilities that arise from the use of Internet of Things and cloud computing in the idea of the smart city, both for technical and utility reasons, as well as for the development of ICT.

Prof. Dr. Aneta Poniszewska-Maranda
Dr. Witold Maranda
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. Smart Cities 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 2000 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

  • smart energy
  • smart buildings
  • smart technology
  • IoT-based applications
  • cloud storage and processing for smart cities
  • data science for smart cities
  • security for smart cities

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Published Papers (4 papers)

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Research

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23 pages, 7743 KiB  
Article
Real-Time Littering Activity Monitoring Based on Image Classification Method
by Nyayu Latifah Husni, Putri Adelia Rahmah Sari, Ade Silvia Handayani, Tresna Dewi, Seyed Amin Hosseini Seno, Wahyu Caesarendra, Adam Glowacz, Krzysztof Oprzędkiewicz and Maciej Sułowicz
Smart Cities 2021, 4(4), 1496-1518; https://doi.org/10.3390/smartcities4040079 - 13 Dec 2021
Cited by 8 | Viewed by 4392
Abstract
This paper describes the implementation of real time human activity recognition systems in public areas. The objective of the study is to develop an alarm system to identify people who do not care for their surrounding environment. In this research, the actions recognized [...] Read more.
This paper describes the implementation of real time human activity recognition systems in public areas. The objective of the study is to develop an alarm system to identify people who do not care for their surrounding environment. In this research, the actions recognized are limited to littering activity using two methods, i.e., CNN and CNN-LSTM. The proposed system captures, classifies, and recognizes the activity by using two main components, a namely camera and mini-PC. The proposed system was implemented in two locations, i.e., Sekanak River and the mini garden near the Sekanak market. It was able to recognize the littering activity successfully. Based on the proposed model, the validation results from the prediction of the testing data in simulation show a loss value of 70% and an accuracy value of 56% for CNN of model 8 that used 500 epochs and a loss value of 10.61%, and an accuracy value of 97% for CNN-LSTM that used 100 epochs. For real experiment of CNN model 8, it is obtained 66.7% and 75% success for detecting littering activity at mini garden and Sekanak River respectively, while using CNN-LSTM in real experiment sequentially gives 94.4% and 100% success for mini garden and Sekanak river. Full article
(This article belongs to the Special Issue Cloud-Based IoT Applications for Smart Cities)
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47 pages, 1479 KiB  
Article
IoT in Smart Cities: A Survey of Technologies, Practices and Challenges
by Abbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar and Adel Elmaghraby
Smart Cities 2021, 4(2), 429-475; https://doi.org/10.3390/smartcities4020024 - 30 Mar 2021
Cited by 301 | Viewed by 64438
Abstract
Internet of Things (IoT) is a system that integrates different devices and technologies, removing the necessity of human intervention. This enables the capacity of having smart (or smarter) cities around the world. By hosting different technologies and allowing interactions between them, the internet [...] Read more.
Internet of Things (IoT) is a system that integrates different devices and technologies, removing the necessity of human intervention. This enables the capacity of having smart (or smarter) cities around the world. By hosting different technologies and allowing interactions between them, the internet of things has spearheaded the development of smart city systems for sustainable living, increased comfort and productivity for citizens. The IoT for Smart Cities has many different domains and draws upon various underlying systems for its operation. In this paper, we provide a holistic coverage of the Internet of Things in Smart Cities. We start by discussing the fundamental components that make up the IoT based Smart City landscape followed by the technologies that enable these domains to exist in terms of architectures utilized, networking technologies used as well as the Artificial Algorithms deployed in IoT based Smart City systems. This is then followed up by a review of the most prevalent practices and applications in various Smart City domains. Lastly, the challenges that deployment of IoT systems for smart cities encounter along with mitigation measures. Full article
(This article belongs to the Special Issue Cloud-Based IoT Applications for Smart Cities)
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Review

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24 pages, 1214 KiB  
Review
Cloud-Based IoT Applications and Their Roles in Smart Cities
by Tanweer Alam
Smart Cities 2021, 4(3), 1196-1219; https://doi.org/10.3390/smartcities4030064 - 17 Sep 2021
Cited by 140 | Viewed by 34588
Abstract
A smart city is an urbanization region that collects data using several digital and physical devices. The information collected from such devices is used efficiently to manage revenues, resources, and assets, etc., while the information obtained from such devices is utilized to boost [...] Read more.
A smart city is an urbanization region that collects data using several digital and physical devices. The information collected from such devices is used efficiently to manage revenues, resources, and assets, etc., while the information obtained from such devices is utilized to boost performance throughout the city. Cloud-based Internet of Things (IoT) applications could help smart cities that contain information gathered from citizens, devices, homes, and other things. This information is processed and analyzed to monitor and manage transportation networks, electric utilities, resources management, water supply systems, waste management, crime detection, security mechanisms, proficiency, digital library, healthcare facilities, and other opportunities. A cloud service provider offers public cloud services that can update the IoT environment, enabling third-party activities to embed IoT data within electronic devices executing on the IoT. In this paper, the author explored cloud-based IoT applications and their roles in smart cities. Full article
(This article belongs to the Special Issue Cloud-Based IoT Applications for Smart Cities)
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23 pages, 2480 KiB  
Review
Energy Harvesting Mechanisms in a Smart City—A Review
by Ajibike Eunice Akin-Ponnle and Nuno Borges Carvalho
Smart Cities 2021, 4(2), 476-498; https://doi.org/10.3390/smartcities4020025 - 8 Apr 2021
Cited by 45 | Viewed by 6997
Abstract
The issue of how to power the deployed Internet of Things (IoT) nodes with ubiquitous and long lasting energy in order to ensure uninterruptible optimisation of smart cities is of utmost concern. This among other challenges has continued to gear efforts toward energy [...] Read more.
The issue of how to power the deployed Internet of Things (IoT) nodes with ubiquitous and long lasting energy in order to ensure uninterruptible optimisation of smart cities is of utmost concern. This among other challenges has continued to gear efforts toward energy harvesting research. With the outbreak of COVID-19 pandemic and the lockdown that nearly paralysed activities of everyday living in many nations of the world, option of human remote interaction to enforce social distancing became imperative. Hence, the world is witnessing a renewed awareness of the importance of IoT devices, as integral components of smart city, especially for the essence of survival in the face of lockdown. Energy harvesting is a possible solution that could enable IoT nodes to scavenge self-sustaining energy from environmental ambient sources. In this paper, we have reviewed most sources within city that energy could be harvested from, as reported by researchers in literature. In addition, we have submitted that energy sources can be application specific, such that, since there are many free sources in the city as presented in this review, energy should be scavenged within close proximity of need for various IoT devices or wireless sensor networks (WSNs), for smart city automation. Full article
(This article belongs to the Special Issue Cloud-Based IoT Applications for Smart Cities)
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