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Sensors
Special Issues
Smart Sensors, Ambient Intelligence and Internet of Things Paradigms
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Smart Sensors, Ambient Intelligence and Internet of Things Paradigms

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

Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 9457

Special Issue Editors

Prof. Dr. Riccardo Berta

E-Mail Website
Guest Editor
Electrical, Electronics and Telecommunication Engineering and Naval ArchitectureDepartment, University of Genoa, 16145 Genoa, Italy
Interests: Internet of Things; electronic systems and applications; edge computing; serious games
Special Issues, Collections and Topics in MDPI journals
Dr. Loreto Pescosolido

E-Mail Website
Guest Editor
CNR Institute for Informatics and Telematics, Pisa, Italy
Interests: 5G; D2D data offloading; Internet of Things; sensor networks; distributed algorithms; underwater acoustic sensor networks

Special Issue Information

Dear Colleagues,

The number of Internet of Things (IoT) devices (e.g., smart sensors and ambient intelligent infrastructures) will be around 50 billion by the year 2020. In this internet architecture, everyday objects will feature sensing capabilities, processing power, and communication interfaces. Big industries in the well-established cloud computing market are moving towards this new scenario: some examples are the AWS Greengrass and IoT Management, the Google Cloud IoT, and the Microsoft Azure IoT. It is not clear how the real IoT will work in the future, because the amount of data produced by IoT devices will be several orders of magnitude greater that the amount produced by the standard internet, and the current cloud infrastructures may be not suited to the purpose. Other paradigms, such as edge and fog computing, are emerging. The goal is to move as little data as possible by exploiting the computation capabilities of devices in order to send only relevant information to the cloud. To obtain this result, several critical challenges require research from the industry and academic communities. It remains unclear how to efficiently address the cooperation between edge and cloud resources; discover and reuse services and applications exposed by devices; design/develop and test applications in this highly distributed scenario; handle security, privacy, and trust issues; and so on. This Special Issue aims to promote the dissemination of the latest ideas and case studies about the implementation of new IoT paradigms, especially for the needs of smart sensors and ambient intelligence applications. The objective is to publish high‐quality contributions presenting innovative platforms, frameworks, and solutions for the overall IoT system. Only contributions describing original ideas, previously unpublished and not currently under review by other conferences/journals, will be considered.
Possible topics of interest to this Special Issue include, but are not limited to:

  • Middleware and novel paradigms for IoT applications development;
  • Solution for cloud–edge cooperation;
  • Information extraction, elaboration and diffusion in IoT;
  • Test-bed and simulation tools for IoT;
  • Innovative real-world applications and systems involving cloud- and edge-based IoT platforms;
  • Heterogeneity and interoperability of devices;
  • Security and privacy in large IoT installations;
  • Authentication and authorization of resource-constrained IoT devices.

Prof. Riccardo Berta
Dr. Loreto Pescosolido
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.

Keywords

  • Internet of Things
  • privacy and security
  • interoperability
  • edge and cloud computing

Published Papers (1 paper)

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Research

20 pages, 5495 KiB  
Article
An IoT-Based Ship Berthing Method Using a Set of Ultrasonic Sensors
by Ahmadhon Kamolov and Suhyun Park
Sensors 2019, 19(23), 5181; https://doi.org/10.3390/s19235181 - 26 Nov 2019
Cited by 31 | Viewed by 8994
Abstract
It is indisputable that a great deal of brand new technologies such as the internet of things, (IoT) big data, and cloud computing are conquering every aspect of our life. So, in the branch of marine technology, the mentioned technologies are also being [...] Read more.
It is indisputable that a great deal of brand new technologies such as the internet of things, (IoT) big data, and cloud computing are conquering every aspect of our life. So, in the branch of marine technology, the mentioned technologies are also being applied to obtain more features and to automate marine-related operations as well as creating novel smart devices. As a result of this, traditional ports and ships are being replaced by smart ports and vessels. To achieve this transition, numerous applications need to be developed to make them smart. The purpose of this paper is to present a dedicated an IoT-based system for automating linkage procedures by searching for available locations via port-mounted sensors and planned ship notification. In the experimental system, we have used smartphone as an alternative to the client-side vessel of the system and created an Android app called “Smart Ship Berthing” instead of the charging program, for instance, NORIVIS 4, VDASH, ODYSSEY, etc. To test our proposed server-side system, we used Raspberry Pi with a combination of an ultrasonic sensor to detect the ship and modify the empty berth for anchoring. The experimental results show that the set of UR sensors have high accuracy to detect ships at the port for ship berthing and our proposed system is very amenable to implementation in the real marine environment. Full article
(This article belongs to the Special Issue Smart Sensors, Ambient Intelligence and Internet of Things Paradigms)
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