An Efficient Algorithm for Context-Aware End-to-End Connectivity Management

Abstract

In a dynamic, heterogeneous environment, context-aware adaptation is a key concept to meet the varying requirements of different users. Connectivity is an important context source that can be utilized for optimal management of diverse networking resources. Application Quality of Service (QoS) is another important issue. This paper presents connectivity from the point of view of context awareness, identifies various relevant raw connectivity contexts, and discusses how high-level context information can be abstracted from the raw context information. Further, rich context information is utilized in various policy representation with respect to user profile and preference, application characteristics, device capability, and network QoS conditions. Finally, a context-aware end-to-end evaluation algorithm is presented that takes into account the application QoS .in a multi-access wireless network. Simulation results show its efficiency and effectiveness.