Self Trajectory Estimation for wireless mobile networks

IEEE computer society Conference publishing Services (CPS)
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Conference Proceeding
Selected Papers on the 4th International Conference on Broadband Communication, Information Technology & Biomedical Applications, BroadBandCom '09, 2009, pp. 71 - 75
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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.
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