Mobility Prediction Modeling and Analysis for People in Mobile Wireless Network

This paper presents the prediction and analysis of a mobility model of people, in short mobility prediction for the mobile wireless network architecture as the essential part of future wireless market trends. To show a mobile connectivity and wireless connection in wireless mesh-network, we utilized urban mobility simulation time with prediction method, and also investigated a large number of mobility flows. We also highlight how to achieve high efficiency by using the neural prediction methods and modeling directly to the mobile wireless network architecture by a software tool and library. Major results of our experimental study demonstrate good scalability and usability of our prediction of mobility model by using a statistical comparison results, and trend of mobility usages.