1. A method of predicting mobility based on relative mobile characteristics, comprising: detecting, by each of a plurality of sensor nodes of a sensor network including the plurality of sensor nodes, a change in relative location with respect to an observed node; recording, by the each of the plurality of sensor nodes, information about the detected change in relative location; generating, by the each of the plurality of sensor nodes, a mathematical model for a possibility of approach of the observed node with respect to the each of the plurality of sensor nodes using the recorded relative location change information; and predicting probabilistically, by the each of the plurality of sensor nodes, whether the observed node will approach the each of the plurality of sensor nodes using the mathematical model, wherein the generating comprises: generating a mobility state of the observed node by accumulating k pieces of relative location change information of the observed node based on changes in discrete time; generating a state diagram using combinations of a plurality of mobility states that the observed node can have; and generating a Markov model for probabilities of transition between a plurality of mobility states within the state diagram as the mathematical model.