IoT-Driven Innovations in Smart Cities: From Urban Sensing to Trusted AIoT Services
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 658
Editors
Interests: internet of things; cyber–physical systems; smart cities; B5G/6G; wireless networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart cities increasingly depend on Internet of Things (IoT) ecosystems to monitor urban environments and deliver responsive services. However, the pathway from sensing to city-scale services remains constrained by heterogeneous devices, variable data quality, fragmented connectivity and growing concerns around security, privacy and operational trust. At the same time, AI-enabled IoT (AIoT) is accelerating decision-making through edge/cloud intelligence, yet it introduces new requirements for robustness, transparency and dependable deployment.
This Special Issue targets end-to-end innovations that connect urban sensing with trusted AIoT services, emphasising rigorous evaluation and real-world relevance. We welcome contributions on novel sensor systems and measurement methods; scalable architectures from edge to cloud; reliable connectivity for dense urban deployments (including LPWAN and cellular IoT) and trustworthy analytics that protect privacy and resist adversarial manipulation. Submissions should demonstrate clear metrics and credible validation (prototypes, pilots, testbeds, datasets or well-justified simulations). The topic aligns strongly with Sensors by focusing on sensing integrity, measurement reliability and sensor-driven systems that enable actionable urban intelligence.
Dr. Waheb Abdullah
Dr. Wasan Kadhim Saad
Guest Editors
Manuscript Submission Information
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Keywords
- smart cities
- internet of things (IoT)
- AI-enabled IoT (AIoT)
- urban sensing
- sensor networks
- edge intelligence
- LPWAN (LoRaWAN / NB-IoT /Sigfox)
- IoT security and privacy
- trustworthy AI
- cyber–physical systems
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