"TellMe": a novel protocol and location prediction scheme exploiting the "one for all" framework for location management

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 object databases (MOD) to address the crucial challenge of extrapolating object 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 group formation. Simulation results have proven that TellMe supercedes the cost savings of the OFA's current protocol and prediction scheme.