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Sensor-Based IoT Systems: Edge Intelligence, Trust Management, and Applications

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

Deadline for manuscript submissions: 15 May 2026 | Viewed by 40

Special Issue Editors


E-Mail Website
Guest Editor
School of Computer Science, University College Dublin, Dublin, Ireland
Interests: medical image analysis; intelligent transportation systems; IoT; social networks analysis; mobile edge computing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Computer Science, University College Dublin, Belfield, Dublin, Ireland
Interests: IoT; social computing; intelligent transportation systems; social networks analysis; mobile edge computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are delighted to serve as Guest Editors for this Special Issue titled “Sensor-Based IoT Systems: Edge Intelligence, Trust Management, and Applications”. In recent years, the convergence of pervasive sensing, advanced analytics at the network edge, and robust trust frameworks has fundamentally transformed how Internet of Things (IoT) deployments are designed, managed, and scaled. In this Special Issue, we seek to curate a collection of original research articles, comprehensive surveys, and insightful case studies that address the latest advances across the following three core pillars.

  • Edge Intelligence

Harnessing the computational capabilities of edge devices to enable low-latency decision-making, adaptive learning, and efficient resource utilization. We welcome contributions that explore novel architectures, lightweight algorithms, and real-world deployments of AI and machine-learning techniques directly on sensor-equipped IoT nodes.

  • Trust Management

Ensuring security, privacy, and reliability in highly distributed sensor networks. Topics include blockchain-based trust frameworks, reputation and incentive mechanisms, secure and privacy-preserving data sharing, and zero-trust approaches tailored to resource-constrained environments.

  • Applications

Showcasing innovative use cases that highlight the societal and industrial impact of sensor-based IoT systems. From smart healthcare and precision agriculture to intelligent transportation and environmental monitoring, we encourage submissions that demonstrate end-to-end solutions, performance evaluations, and lessons learned from large-scale field trials.

We aim to provide an interdisciplinary forum that fosters dialogue between the fields of IoT, machine learning, and cybersecurity. This Special Issue not only surveys the state of the art but also addresses emerging challenges and opportunities in sensor-based IoT systems.

Potential Topics:

  • Federated and Collaborative Learning at the Edge
  • TinyML and Ultra-Low-Power Deep Learning Inference
  • Multi-Access Edge Computing (MEC) Architectures for IoT
  • Real-Time Analytics and Event Detection on Sensor Nodes
  • Blockchain and Smart Contracts for IoT Trust and Security
  • Reputation-Based and Incentive-Driven Trust Mechanisms
  • Privacy-Preserving Data Aggregation and Sharing
  • Zero-Trust Networking in Constrained IoT Environments
  • Secure Firmware Updates and Edge Device Attestation
  • Self-Adaptive and Context-Aware Edge Intelligence
  • Digital Twins for Predictive Maintenance and Control
  • AI-Driven Resource Allocation and Load Balancing
  • Sensor Fusion and Anomaly Detection Methods
  • Edge-Enabled Autonomous Systems (e.g., Drones and Vehicles)
  • IoT in Smart Healthcare: Wearables, Remote Monitoring, and Telemedicine
  • Precision Agriculture: Sensor-Driven Crop and Soil Analytics
  • Smart Cities: Intelligent Transportation, Waste Management, and Energy Grids
  • Environmental Monitoring: Air Quality, Water Quality, and Disaster Prediction
  • Industrial IoT (IIoT): Industry 4.0, Robotics, and Predictive Maintenance
  • Energy-Efficient Protocols and Network Slicing for Edge IoT

We welcome both theoretical advances and practical case studies that push the boundaries of sensor-based IoT. Thank you for considering this Special Issue, and we look forward to your high-quality submissions.

Dr. Nyothiri Aung
Dr. Sahraoui Dhelim
Dr. Chaker Abdelaziz Kerrache
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

  • edge intelligence
  • trust management
  • sensor-based IoT applications
  • security and privacy in IoT
  • machine learning

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Published Papers

This special issue is now open for submission.
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