Virtual scene adaptive network released research based on pervasive computing

For mobile devices to access three-dimensional virtual scene by the network bandwidth and computing power constraints of the terminal,making use of virtual reality for online mobile learning is not efficient,based on this proposed adaptive optimization of pervasive computing based selection techniques.First three-dimensional entity ontology semantic description,the establishment of appropriate optimization model.On this basis,by WURFL sampling of handheld mobile devices to get device parameters,the parameters are analyzed to establish universal rules,and finally to optimize the use of pervasive computing for adaptive selection.After using this method,test results show that the adaptive selection through handheld mobile devices to obtain three-dimensional virtual scene of resources is significantly improved speed and efficiency.