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Feature Review Papers in the ‘Sensor Networks’ Section 2024–2025
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Feature Review Papers in the ‘Sensor Networks’ Section 2024–2025

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 7813

Special Issue Editors

Prof. Dr. Giovanni Pau

E-Mail Website
Guest Editor
Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy
Interests: wireless sensor networks; intelligent transportation systems; Internet of things; green communications; fuzzy logic
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Dimitrios Georgakopoulos

E-Mail Website
Guest Editor
Key IoT Lab, Swinburne University of Technology, John St, Hawthorn, VIC 3122, Australia
Interests: Internet of Things; process management; data management
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Paolo Ferrari

E-Mail Website
Guest Editor
UNIBS-DIE, Department of Information Engineering, University of Brescia, 25123 Brescia, Italy
Interests: sensor network; distributed measurement systems; industrial communication; real-time ethernet; clock synchronization; industrial IoT; industrial security; wireless sensors; smart city
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue on “Feature Review Papers in the ‘Sensor Networks’ Section 2024–2025” aims to curate a collection of in-depth review papers that provide comprehensive insights, analysis, and advancements in the field of sensor networks. This Special Issue welcomes submissions focusing on emerging trends, novel technologies, challenges, and future directions in sensor network research. Authors are encouraged to explore cutting-edge topics, innovative methodologies, and practical applications that contribute to the ongoing development and evolution of sensor network technologies. The goal of this Special Issue is to showcase a diverse range of high-quality review papers that offer valuable perspectives and contribute significantly to the sensor network domain. Researchers, academics, and industry professionals are invited to submit their original contributions to this Special Issue, promising an enriching and informative compilation of feature review papers in the Sensor Networks Section for the year 2024–2025.

Dr. Giovanni Pau
Prof. Dr. Dimitrios Georgakopoulos
Prof. Dr. Paolo Ferrari
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

  • sensor networks
  • innovative methodologies
  • data analysis
  • Internet of Things (IoT)
  • wireless sensor networks
  • energy efficiency
  • security and privacy
  • machine learning
  • artificial intelligence

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Review

28 pages, 735 KiB  
Review
An Interdisciplinary Overview on Ambient Assisted Living Systems for Health Monitoring at Home: Trade-Offs and Challenges
by Baraa Zieni, Matthew A. Ritchie, Anna Maria Mandalari and Francesca Boem
Sensors 2025, 25(3), 853; https://doi.org/10.3390/s25030853 - 30 Jan 2025
Viewed by 1904
Abstract
The integration of IoT and Ambient Assisted Living (AAL) enables discreet real-time health monitoring in home environments, offering significant potential for personalized and preventative care. However, challenges persist in balancing privacy, cost, usability, and system reliability. This paper provides an overview of recent [...] Read more.
The integration of IoT and Ambient Assisted Living (AAL) enables discreet real-time health monitoring in home environments, offering significant potential for personalized and preventative care. However, challenges persist in balancing privacy, cost, usability, and system reliability. This paper provides an overview of recent advancements in sensor and IoT technologies for assisted living, with a focus on elderly individuals living independently. It categorizes sensor types and technologies that enhance healthcare delivery and explores an interdisciplinary framework encompassing sensing, communication, and decision-making systems. Through this analysis, this paper highlights current applications, identifies emerging challenges, and pinpoints critical areas for future research. This paper aims to inform ongoing discourse and advocate for interdisciplinary approaches in system design to address existing trade-offs and optimize performance. Full article
(This article belongs to the Special Issue Feature Review Papers in the ‘Sensor Networks’ Section 2024–2025)
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62 pages, 10336 KiB  
Review
Efficient Integration of Ultra-low Power Techniques and Energy Harvesting in Self-Sufficient Devices: A Comprehensive Overview of Current Progress and Future Directions
by Rocco Citroni, Fabio Mangini and Fabrizio Frezza
Sensors 2024, 24(14), 4471; https://doi.org/10.3390/s24144471 - 10 Jul 2024
Cited by 17 | Viewed by 2242
Abstract
Compact, energy-efficient, and autonomous wireless sensor nodes offer incredible versatility for various applications across different environments. Although these devices transmit and receive real-time data, efficient energy storage (ES) is crucial for their operation, especially in remote or hard-to-reach locations. Rechargeable batteries are commonly [...] Read more.
Compact, energy-efficient, and autonomous wireless sensor nodes offer incredible versatility for various applications across different environments. Although these devices transmit and receive real-time data, efficient energy storage (ES) is crucial for their operation, especially in remote or hard-to-reach locations. Rechargeable batteries are commonly used, although they often have limited storage capacity. To address this, ultra-low-power design techniques (ULPDT) can be implemented to reduce energy consumption and prolong battery life. The Energy Harvesting Technique (EHT) enables perpetual operation in an eco-friendly manner, but may not fully replace batteries due to its intermittent nature and limited power generation. To ensure uninterrupted power supply, devices such as ES and power management unit (PMU) are needed. This review focuses on the importance of minimizing power consumption and maximizing energy efficiency to improve the autonomy and longevity of these sensor nodes. It examines current advancements, challenges, and future direction in ULPDT, ES, PMU, wireless communication protocols, and EHT to develop and implement robust and eco-friendly technology solutions for practical and long-lasting use in real-world scenarios. Full article
(This article belongs to the Special Issue Feature Review Papers in the ‘Sensor Networks’ Section 2024–2025)
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22 pages, 4583 KiB  
Review
Cooperative Communication Based Protocols for Underwater Wireless Sensors Networks: A Review
by Muhammad Shoaib Khan, Andrea Petroni and Mauro Biagi
Sensors 2024, 24(13), 4248; https://doi.org/10.3390/s24134248 - 29 Jun 2024
Cited by 8 | Viewed by 2232
Abstract
Underwater wireless sensor networks are gaining popularity since supporting a broad range of applications, both military and civilian. Wireless acoustics is the most widespread technology adopted in underwater networks, the realization of which must face several challenges induced by channel propagation like signal [...] Read more.
Underwater wireless sensor networks are gaining popularity since supporting a broad range of applications, both military and civilian. Wireless acoustics is the most widespread technology adopted in underwater networks, the realization of which must face several challenges induced by channel propagation like signal attenuation, multipath and latency. In order to address such issues, the attention of researchers has recently focused on the concept of cooperative communication and networking, borrowed from terrestrial systems and to be conveniently recast in the underwater scenario. In this paper, we present a comprehensive literature review about cooperative underwater wireless sensor networks, investigating how nodes cooperation can be exploited at the different levels of the network protocol stack. Specifically, we review the diversity techniques employable at the physical layer, error and medium access control link layer protocols, and routing strategies defined at the network layer. We also provide numerical results and performance comparisons among the most widespread approaches. Finally, we present the current and future trends in cooperative underwater networks, considering the use of machine learning algorithms to efficiently manage the different aspects of nodes cooperation. Full article
(This article belongs to the Special Issue Feature Review Papers in the ‘Sensor Networks’ Section 2024–2025)
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