"TellMe": A Novel Location Management and Prediction Protocol for Moving Object Databses Amal Elnahas, Omar Karam, Ingy Ramzy, and Ahmed Hamad   View Paper (PDF)   Return to Temporal Databases 2 Abstract Motivated by the surge of location prediction challenges and inspired by the mutual advancements in knowledge discovery and location management, this paper opts for exploiting the merits of the "One For All" (OFA) framework for moving objects databases(MOD) to address the crucial challenge of extrapolating objects' positions and balance the mainstay "bandwidth-precision" tradeoff. The proposed "TellMe" protocol and prediction scheme utilizes the OFA mobility groups to provide individual objects with accurate foreknowledge of their motion paths. Equivalently it diminishes the OFA's overheads of groups' formation. Simulation results have proven that the "TellMe" supercedes the cost savings of the OFA's current protocol and prediction scheme. ©2006 Association for Computing Machinery