Volume 2 - Issue 2
Context-Aware Mobility Management in Heterogeneous Network Environments
- Peyman TalebiFard
Department of Electrical and Computer Engineering The University of British Columbia Vancouver, BC, Canada
peymant@ece.ubc.ca
- Victor C.M. Leung
Department of Electrical and Computer Engineering The University of British Columbia Vancouver, BC, Canada
vleung@ece.ubc.ca
Keywords: Access network selection, Context-aware, MADM, Quality of Context, Weighted Product Method.
Abstract
Context-aware mobility management can provide major enhancements for future mobile communication
systems. Not only it considers device mobility, but session mobility is also considered.
Context-awareness is a key ingredient in any ubiquitous and pervasive system and provides intelligence
to the system, allowing computing devices make appropriate and timely decisions on behalf
of users. The use of contextual information is essential in optimizing services in a heterogeneous
mobile network environment. Context awareness in mobile computing refers to internal and external
adaptation of the environment and applications to the context state of each other. Such systems
should adapt to the changes and variations of user’s context such as location, device status and capabilities,
network connectivity and etc. One of the important aspects of mobility management is the
dynamic selection of the best access network for a multimodal device when there is a need to perform
a handover. Multi Attribute Decision Making (MADM) is one of the successfully used methods in
the literature to solve decision making problems. Weighted product method is an MADM method
that penalizes the unreliable attributes in making a decision. WPM is a suitable candidate for decision
making in more dynamic situations since the computational cost is low and does not suffer from
ranking abnormalities as the alternatives change. In this paper, an algorithm for a context-aware network
selection is proposed that is based on WPM. We argue that the quality of provided context data
is an important factor in making decisions.