sensors-logo

Journal Browser

Journal Browser

Artificial Intelligence Applications to Smart City

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (10 August 2022) | Viewed by 5602

Special Issue Editors


E-Mail Website
Guest Editor
Department of Information and Communications Engineering, Computer Science Faculty, University of Murcia, Murcia, Spain
Interests: smart cities; smart agriculture; IoT; security; privacy; sensor networks; vehicular ad-hoc networks; mobile ad-hoc networks
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
NEC Laboratories Europe GmbH, Heidelberg, Germany
Interests: Context Management; Internet of Things; Semantics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Computer Science Engineering, University of Rome Tor Vergata, 00133 Roma RM, Italy
Interests: Ontologies; Machine Learning; QoS; Network; Internet of Things; Security; Context-Awareness; Software Engineering; Multimedia Communication

Special Issue Information

Dear Colleagues,

Smart cities are starting to address challenges such as adjusting city services to citizens effectively to improve their quality of life in the city and to optimize resources in order to reduce the impact on the environment that comes from the high density of population.

Sensorization has played a fundamental role in understanding the beat/pulse of cities. Nevertheless, gathering information is only the first step toward understanding. Interoperability and the use of standards are also cornerstones that make it possible to extend knowledge by promoting exchange of information between different systems. Furthermore, data exploitation has gained a lot of attention in both industry and academia because of the possibilities and results that data can provide. In this sense, artificially intelligent techniques based on machine learning, deep learning, etc. have proven their usefulness, being capable of analyzing sensor information to provide KPIs or even estimations of what the status of the city would be —its services, but also activities and moods of the people in it.

This Special Issue aims to present recent work on intelligent systems for cities. We are inviting reviews, regular research papers (articles), and communications in all areas of research concerning, but not limited to, the following topics, when applied to the context of cities, citizens, and densely populated and highly interconnected areas:

  • Artificial Intelligence and models for understanding the city;
  • E-health for citizens;
  • Crowd management;
  • Security and privacy of city services;
  • Edge/fog architectures for cities;
  • Experimentation and deployments;
  • Cyberphysical systems: public utilities, buildings;
  • Transport and mobility: vehicular networks, traffic congestion, reduced pollution;
  • Digital twins for the smart city.

Dr. Juan Antonio Martinez Navarro
Dr. Martin Bauer
Dr. Giuseppe Tropea
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. Sensors 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 2600 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 (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

15 pages, 1300 KiB  
Article
Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study
by Ahmed Abid, Jieun Lee, Franck Le Gall and JaeSeung Song
Sensors 2022, 22(13), 4798; https://0-doi-org.brum.beds.ac.uk/10.3390/s22134798 - 24 Jun 2022
Cited by 2 | Viewed by 1779
Abstract
A considerable number of Internet of Things deployments are isolated from specific solutions, from devices to data platforms. Standardized data models were proposed to overcome the interoperability gap between these deployments. Next generation service interfaces-linked data (NGSI-LD) is one of the proposed platforms [...] Read more.
A considerable number of Internet of Things deployments are isolated from specific solutions, from devices to data platforms. Standardized data models were proposed to overcome the interoperability gap between these deployments. Next generation service interfaces-linked data (NGSI-LD) is one of the proposed platforms that exploits linked data and proposes an information model and an application programming interface (API) for easy use and standard management of context information. The NGSI-LD information model is based on JSON for Linked Data (JSON-LD) as a serialization format for context information. This efficiently exploits the potential of semantics and linked open data. However, the NGSI-LD graph API and query language are still theoretically defined and limited to some preliminary works. Consequently, current NGSI-LD implementations are mainly based on traditional databases, where the JSON-LD serialization is supported but not exploited owing to the difficulties in defining and implementing new NGSI-LD based Graph APIs. One of the basic solutions is the use of an RDF store for NGSI-LD payloads because these types of databases are well defined and maintained and will not need any added effort for JSON-LD based payloads. However, the main complication at this level is the use of reification to annotate relationships. This study focused on both aspects of exploiting the semantics of NGSI-LD by proposing standardized mapping mechanisms to RDF graphs without reifying JSON-LD payloads and with respect to the NGSI-LD context model and API. Our main proposals highlight that exploiting the RDF store for processing NGSI-LD data semantically is feasible and uncomplicated. We illustrated the proposed mapping approaches with real use-case examples and a possible exploitation of semantic approaches. Full article
(This article belongs to the Special Issue Artificial Intelligence Applications to Smart City)
Show Figures

Figure 1

27 pages, 3142 KiB  
Article
VirIoT: A Cloud of Things That Offers IoT Infrastructures as a Service
by Andrea Detti, Hidenori Nakazato, Juan Antonio Martínez Navarro, Giuseppe Tropea, Ludovico Funari, Luca Petrucci, Juan Andrés Sánchez Segado and Kenji Kanai
Sensors 2021, 21(19), 6546; https://0-doi-org.brum.beds.ac.uk/10.3390/s21196546 - 30 Sep 2021
Cited by 1 | Viewed by 2630
Abstract
Many cloud providers offer IoT services that simplify the collection and processing of IoT information. However, the IoT infrastructure composed of sensors and actuators that produces this information remains outside the cloud; therefore, application developers must install, connect and manage the cloud. This [...] Read more.
Many cloud providers offer IoT services that simplify the collection and processing of IoT information. However, the IoT infrastructure composed of sensors and actuators that produces this information remains outside the cloud; therefore, application developers must install, connect and manage the cloud. This requirement can be a market barrier, especially for small/medium software companies that cannot afford the infrastructural costs associated with it and would only prefer to focus on IoT application developments. Motivated by the wish to eliminate this barrier, this paper proposes a Cloud of Things platform, called VirIoT, which fully brings the Infrastructure as a service model typical of cloud computing to the world of Internet of Things. VirIoT provides users with virtual IoT infrastructures (Virtual Silos) composed of virtual things, with which users can interact through dedicated and standardized broker servers in which the technology can be chosen among those offered by the platform, such as oneM2M, NGSI and NGSI-LD. VirIoT allows developers to focus their efforts exclusively on IoT applications without worrying about infrastructure management and allows cloud providers to expand their IoT services portfolio. VirIoT uses external things and cloud/edge computing resources to deliver the IoT virtualization services. Its open-source architecture is microservice-based and runs on top of a distributed Kubernetes platform with nodes in central and edge data centers. The architecture is scalable, efficient and able to support the continuous integration of heterogeneous things and IoT standards, taking care of interoperability issues. Using a VirIoT deployment spanning data centers in Europe and Japan, we conducted a performance evaluation with a two-fold objective: showing the efficiency and scalability of the architecture; and leveraging VirIoT’s ability to integrate different IoT standards in order to make a fair comparison of some open-source IoT Broker implementations, namely Mobius for oneM2M, Orion for NGSIv2, Orion-LD and Scorpio for NGSI-LD. Full article
(This article belongs to the Special Issue Artificial Intelligence Applications to Smart City)
Show Figures

Figure 1

Back to TopTop