—The rapid advances in a wide range of wireless access technologies along with an industry-wide IP-convergence have set up the stage for context-aware computing. The “location” information of the user plays the most important role in defining this context. To have such a computing environment span globally, one needs a universal location service architecture that is independent of all wireless access technologies and scale well over a wide range of granularity. This brings forth the debate of choice between the geometric and symbolic forms of location information as a consistent universal representation. We discuss how symbolic location information can be used to profile personal mobility pattern of users for building a predictive framework which provides supports for a number of location-aware services. A flexible architecture with its necessary data models and security aspects is then proposed for providing location support to these applications as appropriate. The paper con...
Amiya Bhattacharya, Abhishek Roy, Sajal K. Das