Context Aware End-to-End Connectivity Management

TL;DR

This paper introduces a context-aware approach for managing connectivity in heterogeneous wireless networks, utilizing rich context information to adaptively optimize user experience and network resources.

Contribution

It presents a novel end-to-end evaluation algorithm that incorporates user QoS parameters for adaptive connectivity management in multi-access wireless environments.

Findings

The proposed algorithm improves connectivity adaptation by considering user QoS.

Rich context information enhances policy-based resource management.

The approach outperforms existing algorithms in dynamic network conditions.

Abstract

In a dynamic heterogeneous environment, such as pervasive and ubiquitous computing, 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 QoS (Quality of service) is another important issue that should be taken into consideration for design of a context-aware system. This paper presents connectivity from the view point 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 for adaptive connectivity management in a multi-access wireless network. Unlike the currently existing algorithms, the proposed algorithm takes into account user QoS parameters, and therefore, it is more practical.