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Future Internet
Special Issues
Internet of Things for Smart City Applications
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Internet of Things for Smart City Applications

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

Deadline for manuscript submissions: closed (30 July 2020) | Viewed by 18248

Special Issue Editor

Prof. Dr. Andrea Detti

E-Mail Website
Guest Editor
Electronic Engineering Department, University of Rome Tor Vergata, 1 00133 Rome, Italy
Interests: Networking, Internet of Things, Information-Centric Network, Software-Defined Network, Cloud Computing

Special Issue Information

Dear Colleagues,

Smart city applications require pervasive and large-scale infrastructure, which includes heterogeneous IoT devices and distributed information systems, thus posing interoperability and cost challenges. Interoperable solutions, exploiting fog/edge/cloud computing resources, are fundamental for fair competition, especially in public procurement, while cost savings are necessary to speed up the smart city innovation pace, by enabling more stakeholders to easily enter the market, especially SMEs.

There is a need for simple, efficient, interoperable, trustable and scalable systems based on advanced solutions, which can combine security, privacy, cloud and big Data, and can simplify smart city application programmability and secure deployment. As a result, a new generation of intelligent IoT applications will be able to face needs from different sectors, including mobility, health, energy, industry, disaster/crime prevention, etc., and will support the faster deployment and evolution of smart cities.

This Special Issue invites original research papers on new IoT/Cloud technologies, applications and systems for smart city applications. Relevant topics include, but are not limited to:

  • IoT architectures and technologies for large-scale deployment
  • Cloud/edge/fog technologies, services and systems for IoT applications
  • IoT programming tools (e.g. dataflow programming, node-red, etc.)
  • Novel IoT devices
  • Semantic frameworks for cross-domain correlation of IoT data and applications
  • IoT data analytics
  • Artificial intelligence (AI) techniques for IoT/smart city applications
  • IoT security
  • Privacy protection for IoT applications
  • IoT Blockchain
  • IoT networking technologies
  • Experiences with IoT smart-city services and applications
  • Testbed, demonstrators and comparison of IoT standards
  • Implementations of interoperable solutions that integrate IoT, Cloud and Big Data
  • Open-source IoT software

Prof. Andrea Detti
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.

Keywords

  • IoT
  • Smart Cities
  • Cloud
  • Security
  • Privacy
  • Testbed
  • Demonstrators
  • Standards
  • AI
  • Open Source

Published Papers (4 papers)

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Research

17 pages, 3851 KiB  
Article
An IoT-Based Framework for Smart Water Supply Systems Management
by Rosiberto Gonçalves, Jesse J. M. Soares and Ricardo M. F. Lima
Future Internet 2020, 12(7), 114; https://doi.org/10.3390/fi12070114 - 07 Jul 2020
Cited by 28 | Viewed by 7027
Abstract
The world’s population growth and climate changes increase the demand for high-quality water. This fact forces humankind to create new water management strategies. Smart cities have successfully applied the Internet of Things (IoT) technology in many sectors. Moreover, Complex Event Processing (CEP) can [...] Read more.
The world’s population growth and climate changes increase the demand for high-quality water. This fact forces humankind to create new water management strategies. Smart cities have successfully applied the Internet of Things (IoT) technology in many sectors. Moreover, Complex Event Processing (CEP) can analyze and process large data sets produced by IoT sensors in real-time. Traditional business processes are too rigid in expressing the dynamic behavior of water supply systems. Every execution path must be explicitly specified. On the other hand, declarative business processes allow execution paths that are not prohibited by the rules, providing more flexibility for water supply managers. This paper joins together IoT, CEP, and declarative processes to create a powerful, efficient, and flexible architecture (REFlex Water) to manage water supply systems. To the knowledge of the authors, REFlex Water is the first solution to combine these technologies in the context of water supply systems. The paper describes the REFlex Water architecture and demonstrates its application to a real water system from a Brazilian municipality. Results are promising, and the managers from the Brazilian water company are expanding the use of REFlex Water to other sectors of their water supply system. Full article
(This article belongs to the Special Issue Internet of Things for Smart City Applications)
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19 pages, 4211 KiB  
Article
Development of User-Participatory Crowdsensing System for Improved Privacy Preservation
by Mihui Kim and Junhyeok Yun
Future Internet 2020, 12(3), 56; https://doi.org/10.3390/fi12030056 - 20 Mar 2020
Viewed by 2997
Abstract
Recently, crowdsensing, which can provide various sensing services using consumer mobile devices, is attracting considerable attention. The success of these services depends on active user participation and, thus, a proper incentive mechanism is essential. However, if the sensing information provided by a user [...] Read more.
Recently, crowdsensing, which can provide various sensing services using consumer mobile devices, is attracting considerable attention. The success of these services depends on active user participation and, thus, a proper incentive mechanism is essential. However, if the sensing information provided by a user includes personal information, and an attacker compromises the service provider, participation will be less active. Accordingly, personal information protection is an important element in crowdsensing services. In this study, we resolve this problem by separating the steps of sensing data processing and the reward payment process. An arbitrary node in a sensing data processing pool consisting of user nodes is selected for sensing data processing, and only the processing results are sent to the service provider server to reward the data providing node. The proposed user-participatory crowdsensing system is implemented on the Kaa Internet of things (IoT) platform to evaluate its performance and demonstrate its feasibility. Full article
(This article belongs to the Special Issue Internet of Things for Smart City Applications)
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20 pages, 4397 KiB  
Article
Sensorial Network Framework Embedded in Ubiquitous Mobile Devices
by Miroslav Behan, Ondrej Krejcar, Thabit Sabbah and Ali Selamat
Future Internet 2019, 11(10), 215; https://doi.org/10.3390/fi11100215 - 14 Oct 2019
Cited by 2 | Viewed by 3235
Abstract
Today’s digital society is interconnected and networked, with modern smart devices ubiquitously built into and embedded within smart environments and other environments, where people (their users) typically live. It is very important to mention that sensorial awareness of an environment depends on one’s [...] Read more.
Today’s digital society is interconnected and networked, with modern smart devices ubiquitously built into and embedded within smart environments and other environments, where people (their users) typically live. It is very important to mention that sensorial awareness of an environment depends on one’s current location and equipment, as well as the equipment’s real-time capabilities. Personal sensorial information is considered to be the key factor for progress in the improvement of the productivity of everyday life and creation of a smart surrounding environment. This paper describes the design, implementation, and testing process of a new sensorial framework based on the current possibilities created by ubiquitous smart mobile devices with sensors, which involves computing power and battery power issues. The two parts of the proposed framework have been designed, implemented, and tested. The client part is represented by a front-end mobile application, and the back-end part is represented by a server-side application. The analysis of the data, captured during the testing phase, involves the analysis of the processing time, battery consumption, and transmitted data amount. This analysis reveals that Transmission Control Protocol (TCP) and user datagram protocol (UDP) protocols have a comparable performance, although TCP is preferable for use in local networks. In comparison to other solutions such as MobiSense or Feel the World framework, the final solution of the proposed and developed sensorial framework has two main capabilities, which are the security support and social networking possibilities. The advantage of the MobiSense platform is the existence of several real-world applications, whereas the proposed sensorial framework needs to be verified in the massive context of many users in real time. Full article
(This article belongs to the Special Issue Internet of Things for Smart City Applications)
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11 pages, 796 KiB  
Article
Real-Time Monitoring of Passenger’s Psychological Stress
by Gaël Vila, Christelle Godin, Oumayma Sakri, Etienne Labyt, Audrey Vidal, Sylvie Charbonnier, Simon Ollander and Aurélie Campagne
Future Internet 2019, 11(5), 102; https://doi.org/10.3390/fi11050102 - 26 Apr 2019
Cited by 10 | Viewed by 4524
Abstract
This article addresses the question of passengers’ experience through different transport modes. It presents the main results of a pilot study, for which stress levels experienced by a traveller were assessed and predicted over two long journeys. Accelerometer measures and several physiological signals [...] Read more.
This article addresses the question of passengers’ experience through different transport modes. It presents the main results of a pilot study, for which stress levels experienced by a traveller were assessed and predicted over two long journeys. Accelerometer measures and several physiological signals (electrodermal activity, blood volume pulse and skin temperature) were recorded using a smart wristband while travelling from Grenoble to Bilbao. Based on user’s feedback, three events of high stress and one period of moderate activity with low stress were identified offline. Over these periods, feature extraction and machine learning were performed from the collected sensor data to build a personalized regressive model, with user’s stress levels as output. A smartphone application has been developed on its basis, in order to record and visualize a timely estimated stress level using traveler’s physiological signals. This setting was put on test during another travel from Grenoble to Brussels, where the same user’s stress levels were predicted in real time by the smartphone application. The number of correctly classified stress-less time windows ranged from 92.6% to 100%, depending on participant’s level of activity. By design, this study represents a first step for real-life, ambulatory monitoring of passenger’s stress while travelling. Full article
(This article belongs to the Special Issue Internet of Things for Smart City Applications)
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