About this Research Topic
The Internet of Things (IoT) devices with the advantages of connectivity, data collection, and monitoring, have been deployed as new infrastructures and incorporated into people`s daily lives. The developments of energy harvesting technologies like triboelectric, piezoelectric, and thermoelectric, have provided primary sensors in IoT devices and applications with the benefits of self-powered and low cost. These advances are reported in environmental monitoring, transportation, industrial production, and health care. With marching into the era of artificial intelligence, the above-mentioned sensors and IoT applications are also required features of intelligence, computing, and efficiency. Advanced research works involving AI technologies and self-powered sensing are enabling smart monitoring, interaction, and automation.
AI technologies have been applied to enhance the functionality and practicability of self-powered sensors, which is a hot research topic, but challenges include energy efficiency, sensing sensitivity, and detection accuracy. Self-powered sensors can be self-sufficient with energy harvesting technologies, and more efficient energy conversion will allow sensors to acquire data adjustable or continuously. Furthermore, collected data are operated with AI computing or AI learning, which outputs accurate perception or accessible detection. Thus, data quality and method validity are directly related to sensing sensitivity and detection accuracy of AI-enhanced self-powered sensors. Up to IoT applications, size, cost, robustness, and stability are also should be considered.
In this Research Topic, self-powered sensors and related IoT applications can be designed and developed. Areas for this Research Topic may include but are not limited:
- Artificial intelligence
- Self-powered sensors
- Wireless sensor networks
- Internet of Things
AI technologies have been applied to enhance the functionality and practicability of self-powered sensors, which is a hot research topic, but challenges include energy efficiency, sensing sensitivity, and detection accuracy. Self-powered sensors can be self-sufficient with energy harvesting technologies, and more efficient energy conversion will allow sensors to acquire data adjustable or continuously. Furthermore, collected data are operated with AI computing or AI learning, which outputs accurate perception or accessible detection. Thus, data quality and method validity are directly related to sensing sensitivity and detection accuracy of AI-enhanced self-powered sensors. Up to IoT applications, size, cost, robustness, and stability are also should be considered.
In this Research Topic, self-powered sensors and related IoT applications can be designed and developed. Areas for this Research Topic may include but are not limited:
- Artificial intelligence
- Self-powered sensors
- Wireless sensor networks
- Internet of Things
Keywords: Artificial Intelligence (AI) in sensing, self-powered sensors, wireless sensor networks, Internet of Things, smart monitoring and interaction, energy harvesting technologies
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.
