Internet of Things Applications in Smart Environments
Summary
The Internet of Things (IoT) has emerged as a transformative framework for connecting sensors, actuators and intelligent devices within urban, industrial, domestic and healthcare settings. By facilitating continuous data collection and real-time communication, IoT systems enable automated monitoring of environmental parameters, energy usage and human activities. In smart cities, networked sensors and actuators optimise traffic flows, street lighting and waste management through predictive analytics and adaptive control. In industrial facilities, IoT architectures support condition-based maintenance and process automation, reducing downtime and resource consumption. Within smart homes, appliance interoperability and personalised control foster energy efficiency and occupant comfort. Healthcare environments leverage wearable and implantable devices to deliver remote patient monitoring, early diagnosis and telemedicine services. Underpinning these applications are advances in low-power wireless technologies, scalable data platforms, edge and fog computing paradigms, and machine learning techniques tailored for resource-constrained devices. Taken together, these components form a distributed intelligence fabric that enhances operational resilience, reduces environmental impact and provides novel insights for decision-makers. Global deployment of IoT solutions is driving standardisation efforts, raising interoperability challenges and prompting rigorous investigation of security, privacy and ethical considerations. As sensor densities increase and artificial intelligence capabilities mature at the network edge, IoT applications in smart environments promise to deliver adaptive, context-aware services that are responsive to evolving societal needs.
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Internet of Things Applications in Smart Environments publication trend
The graph below shows the total number of articles in internet of things applications in smart environments across all publications each year (not limited to Nature Index journals).
Technical terms
Edge computing: A paradigm that processes data on or near end-devices rather than in a central cloud, reducing latency and bandwidth usage.
Edge AI: The deployment of artificial intelligence algorithms directly on edge devices to enable real-time analytics without reliance on centralised resources.
Internet of Robotic Things (IoRT): The integration of robotics, sensor networks and data analytics within IoT infrastructures to support autonomous and collaborative robotic operations.
Internet of Medical Things (IoMT): A network of connected medical devices, wearables and applications designed to collect and exchange health-related data for clinical and remote care.
Data fusion: The process of combining heterogeneous data streams from multiple sensors to generate more accurate, consistent and actionable information.
References
- Edge AI: A survey. Internet of Things and Cyber-Physical Systems (2023).
- Enhancing Autonomous Operations in Smart Objects and Devices through the Internet of Robotic Things. Journal of Robotics Spectrum (2023).
- Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions. Information Fusion (2024).
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