A Scenario-aware Event Prediction Approach Based on Event Logic Graph in IoT Systems

One of the main goals of the Internet of Things(IoT) systems is to achieve intelligent interaction of IoT devices. Event prediction is one of the approaches to achieve intelligent interaction. Event logic graph can effectively represent the relationship between events and be used for event prediction. However, in IoT systems, the data generated by IoT devices are usually incomplete and there are complex relationships between events, which in turn affect the accuracy of event prediction in the event logic graph. To address the above problems, this paper proposes a scenario-aware event prediction approach based on event logic graph in IoT systems. First, a flexible paradigm is designed for recognizing events and scenarios in IoT devices. Then, a scenario collaboration-based event context extraction method is proposed for extracting event contexts with similar scenario attributes in the event logic graph. Finally, a scenario-based event prediction method is designed to predict the events that will occur subsequently. In this paper, we verify that our approach can improve the accuracy of event prediction through the case of driving, which shows that our approach in this paper can be effectively applied in IoT systems.