This paper proposes a strategy for updating a MODB (Moving Object Database).The strategy estimates the state of the mobile terminal by applying the Kalman filter on a series of measured positions.A state of a mobile terminal includes the position and the velocity of the terminal.Using the velocity,our strategy extrapolates the position of the terminal.If the difference between the extrapolated position and the measured position is less than the threshold then our strategy skips updating the MODB.In order to verify the efficiency of our strategy,we performed experiments of applying our strategy on the series of measured positions obtained by applying the decision-tree-based indoor positioning method while we are actually walking through the test bed.An analysis of the experimental results is also discussed.
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