Individual profile graphs for location management in PCS networks

Authors:
Chansophea Chuon;Sumanta Guha
Affiliations:
Computer Science and Information Management Program, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand;Computer Science and Information Management Program, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand
Venue:
Computer Communications
Year:
2008

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Abstract

A user's profile, for the purpose of location management in a personal communication service (PCS) network, is formalized as a subgraph of the network graph. This subgraph, the so-called individual profile graph (IPG), is determined after a period of observation with the intent of predicting and codifying the user's diurnal routine. The IPG is easily-motivated, robust, straightforwardly computed from observed data, and, under fairly intuitive assumptions, provably predictive of the user's diurnal routine. An IPG-based paging and update strategy is analyzed. It is shown to significantly improve a straight location area (LA) based strategy that ignores user profiles.