AIoT-Enabled Intelligent Sensing Systems for Smart Cities and Connected Transportation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 5 July 2026 | Viewed by 17
Special Issue Editor
Interests: Internet of Things; artificial intelligence; machine learning; big data; wireless communication; edge computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of artificial intelligence (AI) and the Internet of Things (IoT) is redefining how cities sense, reason with, and respond to dynamic urban environments. By embedding machine learning pipelines directly into distributed sensor networks, AIoT upgrades traditional IoT “data pipes” into adaptive, city-wide nervous systems that optimize energy, traffic, safety, and public health in real time; this is particularly important for connected transportation systems such as autonomous driving, vehicle-to-everything (V2X) communications, and intelligent traffic infrastructure. This Special Issue invites original studies that advance research on the sensing layer that makes these intelligent services possible for both smart city and intelligent transportation applications.
We welcome contributions on the following topics:
- Resource-aware AI architectures for edge and fog nodes;
- Novel MEMS and nano-, bio-, and hyperspectral sensors that deliver high-resolution, multi-modal data streams for AI models;
- On-device learning, federated analytics, and privacy-preserving inference tailored to constrained urban sensor hardware;
- Energy harvesting, ultra-low-power wireless, and self-calibrating systems that extend deployment lifetimes;
- Open datasets, benchmarks, and reproducible field trials in living labs;
- The security, trust, and explainability of AI decisions at extreme edges.
Review articles that critically map sensing challenges in emerging AIoT applications, such as adaptive lighting, predictive maintenance of critical infrastructure, and real-time air-quality micro-clusters, are also encouraged.
This Special Issue welcomes original research on the convergence of AI and the IoT (AIoT) in transforming urban environments. We particularly encourage studies addressing innovations in sensor hardware, resource-aware AI architectures, and intelligent transportation infrastructure (such as V2X and autonomous driving), with a focus on real-time optimization and edge computing.
Dr. Weiwei Jiang
Guest Editor
Manuscript Submission Information
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Keywords
- artificial Internet of Things
- edge artificial intelligence
- federated learning
- smart city
- wireless sensor network
- internet of vehicles
- real-time urban analytics
- intelligent transportation systems
- V2X communication
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