Emerging Advances in Wireless Sensor Networks: Architectures, Intelligence, and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 30 October 2026 | Viewed by 210
Special Issue Editors
Interests: WSN; IoT; AI; security; big data; cloud computing
Special Issues, Collections and Topics in MDPI journals
Interests: power aware design of wireless sensor networks and sensor systems; smart signal processing; state estimation of machines and smart grids
Special Issues, Collections and Topics in MDPI journals
Interests: WSN; AI; energy harvesting systems; sensor system design; measurement methods
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wireless sensor networks (WSNs) play a crucial role in modern sensing and communication systems, enabling a broad range of applications across the Internet of Things (IoT), smart cities, industrial automation, healthcare, environmental monitoring, and cyber–physical systems. Recent advances in wireless communication protocols, sensing hardware, embedded intelligence, and data-driven techniques are driving rapid transformation in the design, performance, and deployment of WSNs.
This Special Issue, “Emerging Advances in Wireless Sensor Networks: Architectures, Intelligence, and Applications”, is intended to provide a comprehensive platform for presenting cutting-edge research and innovative developments in WSN technologies. It will focus on innovative network architectures, intelligent and adaptive sensing strategies, energy-efficient and secure communication mechanisms, and the practical applications of WSNs in complex and dynamic environments.
We invite authors to submit original research articles, review articles, and case studies that address the theoretical foundations and practical applications of wireless sensor networks. Topics may include, but are not limited to, the following:
- Novel WSN architectures and protocols;
- AI- and machine learning-enabled wireless sensor networks;
- Energy-efficient, green, and sustainable WSNs;
- Edge/fog computing and in-network intelligence;
- Big data management and cloud computing;
- Localization, synchronization, and data fusion;
- Security, privacy, trust and anomalies detection in WSNs;
- WSNs for IoT, smart cities, and Industry 4.0;
- Testbeds, experimental studies, and real-world deployments.
Dr. Sabrine Kheriji
Prof. Dr. Faouzi Derbel
Prof. Dr. Olfa Kanoun
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 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. 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
- wireless sensor networks (WSNs)
- Internet of Things (IoTs)
- AI
- green technology
- security
- cloud computing
- big data
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