About this Research Topic
This Research Topic aims to collate experiences and insights drawn from the real-world deployment of IoT applications, as the problems and mitigation strategies identified to fill the gaps between lab prototypes and real-world deployments will be valuable to the researchers and practitioners. It is recognized that deployment of IoT applications that integrate many of these advanced technology offerings is not an easy task and novel architectural deployment of IoT applications combining edge computing, machine learning, security, communication, and cloud would be interesting.
We invite leading scientists from all over the world who have experience in deploying IoT applications in the field or developing specific technology (cybersecurity, AI, machine learning, edge computing, wireless networks) to enable IoT deployment in a real-world setting to report their recent results and share their deployment experience.
Potential topics include but are not limited to the following:
- IoT and its application in smart health, urban mobility, smart manufacturing, environment monitoring, smart home, smart building, and so forth
- Cybersecurity for IoT applications
- Novel deployment architecture of IoT applications
- Machine learning for IoT applications
- Deploying edge intelligence in IoT applications
- Novel integration of AI, edge, and cloud for IoT applications
- New applications of IoT
- Deployment experience of IoT applications
- Interoperability between IoT sensors, actuators, and applications
- Communication protocol for IoT applications
- Optimization of IoT applications
Keywords: IoT for smart cities, machine learning at the edge, IoT security, IoT for urban transport, IoT for health, IoT for agriculture, IoT for building management, digital twins
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.