Advances in Wireless Sensor Networks and Applications

A special issue of Telecom (ISSN 2673-4001).

Deadline for manuscript submissions: 31 August 2026 | Viewed by 2013

Special Issue Editor


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Guest Editor
1. SYSTEC-ARISE, Faculty of Engineering, University of Porto, Porto, Portugal
2. DTEC-UEFS, State University of Feira de Santana, Feira de Santana, Brazil
Interests: emerging networks and applications; wireless networks; smart cities; internet of things; embedded systems; energy management systems
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Special Issue Information

Dear Colleagues, 

Wireless sensor networks (WSNs) have rapidly evolved from simple monitors into intelligent, distributed sensing infrastructures that anchor modern IoT and cyber–physical systems. Compact nodes now self-organize and collaborate at scale, supporting smart cities, smart energy, precision agriculture, e-health, environmental monitoring, and Industry 4.0. By fusing data from the physical world, WSNs deliver actionable insights that improve efficiency, resilience, and quality of life.

Key challenges persist in energy efficiency, coverage and connectivity, scalability, interoperability, dependability, and security/privacy. Resource-constrained nodes must operate reliably in dynamic conditions, motivating ultra-low-power designs, energy harvesting, adaptive protocols, fault tolerance, and self-healing mechanisms. Lightweight, trustworthy security tailored to unattended devices and open wireless links remains essential, especially as WSNs integrate with critical public infrastructures.

Emerging technologies are reshaping the field. Machine learning/AI at the edge enables adaptive routing, anomaly detection, and predictive duty cycling; edge/fog computing brings low-latency processing closer to sensors; blockchain supports integrity and data sharing across heterogeneous domains; digital twins enhance design and maintenance; and UAV-assisted sensing augments coverage. Looking ahead, 6G will couple communication and sensing with ultra-reliable, low-latency links, enabling seamless WSN–network integration for ubiquitous, sustainable services.

This Telecom Special Issue invites original research, surveys, and case studies on WSN architectures and protocols; energy harvesting and management; adaptive/collaborative frameworks; and security/privacy solutions. We particularly welcome works demonstrating societal and industrial impact—e.g., in smart cities, energy, healthcare, agriculture, environmental monitoring, and Industry 4.0—and contributions leveraging AI, edge/fog, blockchain, UAVs, and 6G. Our goal is a forward-looking roadmap for intelligent, reliable, and sustainable sensor-networked systems.

Dr. Thiago C. Jesus
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Telecom 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 1400 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

  • wireless sensor networks (WSN)
  • internet of things (IoT)
  • smart cities
  • Industry 4.0
  • energy harvesting
  • edge/fog computing
  • machine learning/AI
  • cybersecurity
  • digital twin
  • unmanned aerial vehicles (UAVs)
  • 6G communications

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Published Papers (1 paper)

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Review

36 pages, 462 KB  
Review
Trustworthiness in Resource-Constrained IoT: Review and Taxonomy of Privacy-Enhancing Technologies and Anomaly Detection
by Madalin Neagu, Codruta Maria Serban, Anca Hangan and Gheorghe Sebestyen
Telecom 2026, 7(1), 10; https://doi.org/10.3390/telecom7010010 - 16 Jan 2026
Cited by 1 | Viewed by 1613
Abstract
Resource-constrained Internet of Things (IoT) devices are increasingly deployed in critical domains but remain vulnerable to stealthy attacks that can bypass conventional defenses. At the same time, privacy constraints limit centralized data collection and processing, complicating anomaly detection. This systematic review surveys methods [...] Read more.
Resource-constrained Internet of Things (IoT) devices are increasingly deployed in critical domains but remain vulnerable to stealthy attacks that can bypass conventional defenses. At the same time, privacy constraints limit centralized data collection and processing, complicating anomaly detection. This systematic review surveys methods for privacy-preserving anomaly detection in resource-constrained IoT and introduces a five-dimension taxonomy covering deployment paradigms, resource constraints, real-time requirements, protection techniques, and communication constraints. We review how the literature measures and reports resource and privacy costs and identify three major gaps: (1) a shortage of co-designed detector-plus-privacy solutions tailored to constrained hardware, (2) inconsistent reporting of resource and privacy trade-offs, and (3) limited robustness against adaptive attackers and realistic deployment noise. We conclude with actionable recommendations and a prioritized research roadmap. Furthermore, the multi-dimensional taxonomy we introduce provides a structured framework to guide design choices and systematically improve the comparability, deployability, and overall trustworthiness of anomaly detection systems for constrained IoT. Full article
(This article belongs to the Special Issue Advances in Wireless Sensor Networks and Applications)
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