Internet of Things (IoT) and Ambient Intelligence

A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).

Deadline for manuscript submissions: 31 August 2024 | Viewed by 8783

Special Issue Editors


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Guest Editor
Department of Computer Science, University of Oviedo, 33007 Oviedo, Spain
Interests: Internet of Things; web engineering; mobile devices; artificial intelligence; big data; modeling software with DSL and MDE
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Computer Science, University of Oviedo, Oviedo, Spain
Interests: domain-specific languages; model-driven engineering; business process management; machine learning; Internet of Things and e-learning

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is the interconnection of heterogeneous and ubiquitous objects between themselves. Currently, people have things that form an IoT network. People’s daily lives involve many objects with an Internet connection like smartphones, tablets, smart TVs, micro-controllers, smart tags, computers, laptops, cars, cheaper sensors, and improved wireless connections. With these things, people have heterogeneous objects because these are of different types and people have ubiquitous objects because objects are installed in different places and some of these objects can move around the world. In this context, we could think that we already have the Internet of Things.

This Special Issue is focused on the ‘Internet of Things and Ambient Intelligence’. The topics of interest for this Special Issue include, but are not limited to, the following:

  • Internet of Things and ambient intelligence:
    • Software architecture and middleware
    • Data processing and management
    • Security, privacy, and reliability
    • Architectures, protocols, technologies, and algorithms
    • Security, cryptography, and privacy
    • Smart Objects, sensors, and actuators
    • The Web of Things
    • Social Internet of Things
    • Challenges and issues
    • Energy-efficient management of IoT objects
    • Internet of Things platforms
    • Smart objects through online social networks
    • Education
  • Smart home, smart city, smart town, industrial Internet of Things, and smart Earth:
    • Architecture and infrastructure
    • Technologies
    • Applications, business, services, and issues
  • Miscellaneous:
    • Implementing big data techniques
    • Implementing artificial intelligence techniques
    • Model-driven engineering for facilitating to any people
    • The use of cloud computing in the IoT and ambient intelligence
    • Cloud robotics

Prof. Dr. Cristian González García
Prof. Dr. Vicente García-Díaz
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. Big Data and Cognitive Computing 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 1800 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
  • ambient intelligence
  • smart home
  • industrial internet of things
  • smart city
  • smart earth
  • smart objects

Published Papers (2 papers)

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Research

17 pages, 1764 KiB  
Article
CrowDSL: Platform for Incidents Management in a Smart City Context
by Darío Rodríguez-García, Vicente García-Díaz and Cristian González García
Big Data Cogn. Comput. 2021, 5(3), 44; https://doi.org/10.3390/bdcc5030044 - 16 Sep 2021
Cited by 2 | Viewed by 2703
Abstract
The final objective of smart cities is to optimize services and improve the quality of life of their citizens, who can play important roles due to the information they can provide. This information can be used in order to enhance many sectors involved [...] Read more.
The final objective of smart cities is to optimize services and improve the quality of life of their citizens, who can play important roles due to the information they can provide. This information can be used in order to enhance many sectors involved in city activity such as transport, energy or health. Crowd-sourcing initiatives focus their efforts on making cities safer places that are adapted to the population size they host. In this way, citizens are able to report the issues they identify to the relevant body so that they can be fixed and, at the same time, they can provide useful information to other citizens. There are several projects aimed at reporting incidents in a smart city context. In this paper, we propose the use of model-driven engineering by designing a graphical domain-specific language to abstract and improve the incident-reporting process. With the use of a domain-specific language, we can obtain several benefits in our research for users and cities. For instance, we can shorten the time for reporting the events by users and, at the same time, we gain an expressive power compared to other methodologies for incident reporting. In addition, it can be reused and is centered in this specific domain after being studied. Furthermore, we have evaluated the DSL with different users, obtaining a high satisfaction percentage. Full article
(This article belongs to the Special Issue Internet of Things (IoT) and Ambient Intelligence)
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12 pages, 2770 KiB  
Article
Which Way to Cope with COVID-19 Challenges? Contributions of the IoT for Smart City Projects
by Silvia Fernandes
Big Data Cogn. Comput. 2021, 5(2), 26; https://doi.org/10.3390/bdcc5020026 - 16 Jun 2021
Cited by 14 | Viewed by 5058
Abstract
Many activities and sectors have come to a halt due to the COVID-19 crisis. People and workers’ habits and behaviors have changed dramatically, as the use of technologies and connections, virtual reality, and remote support have been enhanced. Businesses and cities have been [...] Read more.
Many activities and sectors have come to a halt due to the COVID-19 crisis. People and workers’ habits and behaviors have changed dramatically, as the use of technologies and connections, virtual reality, and remote support have been enhanced. Businesses and cities have been forced to quickly adapt to the new challenges. Digital technologies have allowed people to have better access to public services due to improved use of resources. Smart cities have significant potential for linking people to work and services as never done before. Additionally, the technological convergence produces data that can enhance interactions and decisions toward the “new normal”. In this paper, the aim is to assess how Portugal is prepared to respond to the accelerated process that this context demands from cities. Portuguese SMEs have developed a good capacity for entrepreneurship and innovation; however, they are still behind in converting the knowledge acquired in sales and exports and there is still limited collaboration at the public-private level. The acceleration of smart cities through the Internet of Things (IoT) may encourage changes in these issues. A more assertive alignment between the emergent technologies and the digitization goals of companies is required. This paper opens a discussion around major needs and trends of IoT (and related technologies) since the pandemic has leveraged them. The relationship between innovation and city smartness is approached to assess main contributing and limiting variables (through the European Innovation Scoreboard), to clarify future directions toward smarter services. The tourism sector, as the largest export economic activity in the country, is addressed in this matter. An analytical framework (using, for example, Power BI and Azure IoT Hub) around this approach can choose and support the most suitable areas of development in the country. Full article
(This article belongs to the Special Issue Internet of Things (IoT) and Ambient Intelligence)
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