Study on Prediction Model of Context-Aware Services Technologies for Internet of Things

Through all kinds of communication technology, Computing resources around people's living will are networked in the age of Internet of Things. It is possible that the Internet of Things get user's dynamic information of environment related. Context-aware services get collect information of the scene by some sensors, processed the information of perception independently, and provided services to users who want to be serviced. This paper puts forward a kind of combination with Bayesian filter model and dynamic Bayesian network model, which include actor, time, location, the weather, the regional cultural background. It can aware the object's scene changed, predict behavioral tendency, based on which provided service matching user's expectation service. So prediction model of Context-aware services can greatly optimized resources of networking and the optimal allocation of resources, improve the performance of the whole system, with profound academic value and practical meaning.