Abstract:
Frequent topology changes and multiple links disconnections in wireless mobile nodes impose the existence of a prediction technique to predict these changes, and then predict the future topology of the network. This paper proposes a predictive model called Self Trajectory Estimation; it is based on the regularity of behavior of nodes mobility. Each mobile node estimates its future locations based on modeling its own path as a function of location and time using curve fitting. The efficiency of the proposed model has been evaluated by MATLAB simulation.
