Abstract—Mobile technologies play a significant role in almost every application. The users can access the data from anywhere and at any time for their requirements. Location prediction is an essential component of mobile based applications. Consider the scenario where a traveler is wishing to know the location details of the required resources. The location prediction process involves careful computation to be performed that includes a mechanism linking the static and dynamic data available in the mobile environment. This paper focuses on providing a model to locate the resource(s) with optimal policies.
Index Terms—Location prediction, Mobile data, Mobile technology.
S. R. Balasundaram, Assistant Professor, Department of Computer Applications is with the National Institute of Technology, Tamil Nadu, India (Phone: +91-431-2503738; fax: +91-431-2500133; e-mail: blsundar@nitt.edu). A. Saravanan, Research Scholar, Department of Computer Applications is with the National Institute of Technology, Tamil Nadu, India (e-mail: saro_manj@yahoo.com).
Cite: S. R. Balasundaram and A. Saravanan, "Suggesting Resource Locations in Mobile Environment," International Journal of Engineering and Technology vol. 2, no. 1, pp. 61-64, 2010.
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