Technology Research, Based On The Position Predicted Switch Qos Support

Mobility, broadband and IP are the main characteristics of future network. While the convergence of traditional telecom network, Internet, and television network has been well know to the world, all of them are now growing towards these three characteristics. The next generation of network will be operating over IPv6 and carrying all kinds of applications including voice and video Thus it is a challenging problem to provide different levels of quality of service for diverse applications with mobile terminals move across areas. Currently researchers focus on the QOS guarantee issue when handover occurs in IP network, including optimal design of network layer protocols and strategies for resource reservation, and storage management of network entity, etc. These achievements can guarantee QOS during handover in some extent, yet most of them have neglected or avoided the issue of how to choose the precise optimization time. Furthermore, none of them has investigated into the integration of different handover strategies, making it difficult to evaluate respective effect on overall performance. Therefore, this thesis focuses on the above issues. Through analyzing user mobility models, we propose a location prediction approach. And on basis of location prediction, a new handover protocol and resource reservation protocol are designed and implemented. Finally, an integration of above strategies is made to provide different levels of QOS for diverse applications, which are then demonstrated through simulation experiment.This thesis investigates into key technologies of providing QOS in mobile environment. The first part introduces relative work of location prediction and proposes a prediction method using pattern recognition. The second part designs an optimized handover protocol, which allocates and manages IPv6 addresses for mobile nodes in advance through location prediction, so as to reduce the effect of handover delay on multimedia applications. The third part devises a resource reservation protocol for voice and video applications, by adding new mechanisms to RSVP. The fourth part integrates different strategies and demonstrates its performance on providing different levels of QOS for different applications, and reducing bandwidth occupation.