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Advancements and Challenges in IoT Communication Technologies for a Connected World: 2nd Edition

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

Deadline for manuscript submissions: 20 January 2026 | Viewed by 449

Special Issue Editors

Department of Information Engineering, University of Pisa, Via G. Caruso 16, 56122 Pisa, PI, Italy
Interests: low-voltage; sensor interfaces; IoT system; integrated circuits
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Guest Editor
Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy
Interests: RFID technologies; antennas; 3D-printing; additive manufacturing in electromagnetics; IoT enabling technologies; smart electromagnetic devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

This Special Issue seeks the submission of contributions focused on the intersection of IoT communication technologies and their applications in creating a more interconnected society. Such submissions should focus on critical areas such as the integration of sensors into next-generation communication systems, new communication paradigms, and technologies such as Internet of Drones (IoD), Industrial Internet of Things (IIoT), machine-to-machine (M2M) communications, RFID, and zero-power communications and their applications in smart agriculture and smart cities. The aim of this Special Issue is to address the scientific and technological challenges faced when enhancing data transmission, processing capabilities, and energy efficiency across diverse IoT systems. Contributions are welcome to explore, among other topics, progress in RFID for efficient data gathering, the adoption of zero-power technologies to prolong the lifespan of IoT components, and the exploitation of IoD and IIoT to enhance operational efficiency and communication system performance. For this Special Issue, we encourage submissions of original research articles, comprehensive reviews, and case studies that showcase novel approaches to overcoming the limitations of current IoT communication technologies, with a particular emphasis on their practical implications in smart agriculture and smart city development.

Dr. Andrea Ria
Dr. Francesco Paolo Chietera
Dr. Xiao Tang
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

  • IoT
  • communication
  • sensors

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Published Papers (1 paper)

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47 pages, 2691 KB  
Systematic Review
Buzzing with Intelligence: A Systematic Review of Smart Beehive Technologies
by Josip Šabić, Toni Perković, Petar Šolić and Ljiljana Šerić
Sensors 2025, 25(17), 5359; https://doi.org/10.3390/s25175359 - 29 Aug 2025
Viewed by 345
Abstract
Smart-beehive technologies represent a paradigm shift in beekeeping, transitioning from traditional, reactive methods toward proactive, data-driven management. This systematic literature review investigates the current landscape of intelligent systems applied to beehives, focusing on the integration of IoT-based monitoring, sensor modalities, machine learning techniques, [...] Read more.
Smart-beehive technologies represent a paradigm shift in beekeeping, transitioning from traditional, reactive methods toward proactive, data-driven management. This systematic literature review investigates the current landscape of intelligent systems applied to beehives, focusing on the integration of IoT-based monitoring, sensor modalities, machine learning techniques, and their applications in precision apiculture. The review adheres to PRISMA guidelines and analyzes 135 peer-reviewed publications identified through searches of Web of Science, IEEE Xplore, and Scopus between 1990 and 2025. It addresses key research questions related to the role of intelligent systems in early problem detection, hive condition monitoring, and predictive intervention. Common sensor types include environmental, acoustic, visual, and structural modalities, each supporting diverse functional goals such as health assessment, behavior analysis, and forecasting. A notable trend toward deep learning, computer vision, and multimodal sensor fusion is evident, particularly in applications involving disease detection and colony behavior modeling. Furthermore, the review highlights a growing corpus of publicly available datasets critical for the training and evaluation of machine learning models. Despite the promising developments, challenges remain in system integration, dataset standardization, and large-scale deployment. This review offers a comprehensive foundation for the advancement of smart apiculture technologies, aiming to improve colony health, productivity, and resilience in increasingly complex environmental conditions. Full article
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