Artificial Intelligence (AI) Sensing for Future Internet of Intelligent Things (IoIT)
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 62
Special Issue Editor
Interests: context sensing; context-aware intelligent systems; IoT; data analytics; mobile computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) and the Internet of Things (IoT), which represents the next frontier of connected technologies, is enabling the rise of a new paradigm: the Internet of Intelligent Things (IoIT). In this emerging ecosystem of sensing technologies, devices are not only interconnected but also have cognitive capabilities that enable autonomous and adaptive learning, as well as real-time context-sensitive decisions. The key to this disruptive transformation is AI-based sensing technology, serving as the foundation for intelligent sensing and interactions within complex environments.
This Special Issue aims to present the latest research, innovations, and applications of AI-driven sensing for IoIT. As sensors evolve from passive data collectors to active intelligent agents, they are redefining how intelligent systems interpret, respond to, and anticipate dynamic conditions across various domains, including smart cities, healthcare, agriculture, manufacturing, energy, and environmental applications. Thus, understanding and advancing this technology is crucial for the future development of AI-based sensing for IoIT.
We invite contributions that explore not only the theoretical foundations, but also the practical applications and emerging trends shaping the future of intelligent, autonomous, and context-aware sensing systems.
Topics of interest include but are not limited to the following:
- AI-driven sensor fusion and context-aware sensing;
- Edge computing for AI-based sensing;
- Secure and privacy-preserving sensing ;
- Neuromorphic and bio-inspired sensing;
- Designing adaptive sensing systems.
We welcome contributions concerning applications of these technologies across various fields, including the following:
- Smart Cities: Adaptive traffic control management, environmental monitoring, etc.
- Healthcare: Remote patient monitoring/management, wearable health devices, and predictive analytics.
- Smart Homes: Context-aware home automation, smart home security, and voice-controlled home systems.
- Industry 4.0: Predictive maintenance, quality assurance, and worker safety monitoring.
- Transportation: Autonomous vehicle navigation and driver behaviour analysis.
- Agriculture: Precision farming, livestock monitoring, and pest detection.
- Security and Surveillance: Intelligent video systems, unmanned aerial vehicle (UAV) surveillance, and biometric access control.
- Energy and Utilities: Smart grid monitoring, oil and gas pipeline monitoring/surveillance, and renewable energy optimisation.
Dr. Abayomi Otebolaku
Guest Editor
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Keywords
- AI-based sensing
- internet of intelligent things (IoIT)
- sensor fusion
- edge computing for AI sensing
- context-aware systems
- intelligent automation
- smart environments
- predictive maintenance
- healthcare IoIT applications
- ambience intelligence
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