Intelligent Sensing for Internet of Things Systems

Abstract

The Internet of things (IoT) has been used for many applications. These applications are accomplished by numerous sensors that detect and share information. When people use the detected information in an IoT system to improve the performance of services, also called the intelligence of the system, this type of IoT is named artificial intelligence of things. This paper proposes a model for improving the flexibility of sensors to enhance the intelligence of IoT. The model defines the quality levels of events and monitoring data for all types of monitoring. In the model, the data or events with different levels have different transmission priority. To reduce energy consumption of detection and transmission, the detecting period of sensors can be set to be longer when the monitored status is normal. In the model application, the sensors shorten the event detection and reaction times. Therefore, the efficiency of monitoring is enhanced. The evaluation demonstrates that the event detection and response times of the proposed mechanism are better than those of other mechanisms.