Edge Intelligence in Smart Sensing Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 24

Special Issue Editors


E-Mail Website
Guest Editor
Faculty of Electrical Engineering and Computer Science, Transilvania University of Brasov, 500036 Brasov, Romania
Interests: artificial intelligence; bioinformatics; cloud computing; remote-controlled systems

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Guest Editor
Faculty of Electrical Engineering and Computer Science, Transilvania University of Brasov, 500036 Brasov, Romania
Interests: electronic components; dynamic modeling; artificial intelligence; educational, industrial, flying and social robots
Ming Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Ave., Los Angeles, CA 90089-2563, USA
Interests: analysis and optimization of embedded systems; systems-on-chip/network-on-chip; low-power VLSI systems; theoretical foundations of cyber-physical systems; molecular communication; modeling and optimization of biologically propelled micro-robotic swarms; control of fractal dynamics
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Special Issue Information

Dear Colleagues,

The rapid growth of the Internet of Things (IoT) and the increasing demand for real-time, data-driven decisions have transformed smart sensing systems into a critical component of modern technological ecosystems. At the forefront of this evolution is edge intelligence—the fusion of edge computing and artificial intelligence (AI)—which enables smart sensors and embedded devices to analyze data locally, reducing latency, preserving bandwidth, and enhancing data privacy.

This Special Issue focuses on recent advances, challenges, and future directions in the development and deployment of edge intelligence solutions for smart sensing applications. It aims to bring together researchers, engineers, and industry professionals to explore how machine learning, deep learning, federated learning, and neuromorphic computing can be applied at the edge to enable adaptive, autonomous, and energy-efficient sensing systems.

By emphasizing interdisciplinary approaches and real-time performance constraints, this Special Issue welcomes contributions that bridge theory and practice, demonstrating how edge intelligence can reshape the capabilities of smart sensing systems in complex, resource-constrained environments. Topics of interest include, but are not limited to

  • lightweight AI models for edge devices;
  • hardware–software co-design;
  • sensor fusion;
  • context-aware sensing;
  • edge-based anomaly detection;
  • real-world deployment in domains such as environmental monitoring, healthcare, industrial automation, transportation, and smart cities.

Dr. Horia Alexandru Modran
Dr. Ioana Corina Bogdan
Prof. Dr. Paul Bogdan
Guest Editors

Manuscript Submission Information

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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. Electronics 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 2400 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

  • edge intelligence
  • smart sensors
  • embedded AI
  • federated learning
  • real-time data processing

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Published Papers

This special issue is now open for submission.
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