The Researches and Challenges of Complex Event Detection in Pervasive Computing
Chunjie Zhou, Xiaofeng Meng · 2010
In pervasive computing environments, wide deployment of sensor devices has generated an unprece- dented volume of atomic events. However, most applications such as healthcare, surveillance and facility manage- ment, as well as environmental monitoring require such events to be filtered and correlated for complex pattern de- tection. Therefore how to extract interesting, useful and complex events from low-level atomic events is becoming more and more important in daily life. At present, there are a lot of researches of complex event detection, and each has its own particular research points. Some pay attention to the time information, especially the importance of time interval; some research in the complex event detection in distributed data sources; recently some propose the prob- abilistic data management on complex event detection. Due to the increasingly importance of complex event detec- tion, this paper analyzes the challenges in the research of complex event detection, and gives a survey of existing researches from three aspects including event types, time information, and precision of data. Finally, some open is- sues and future researches are given.