Dividing sensitive ranges based mobility prediction algorithm in wireless networks

As wireless networks have been widely deployed for public mobile services, predicting the location of a mobile user in wireless networks became an interesting and challenging problem. If we can correctly predict the next cell to which the mobile users are going, the performance of wireless applications, such as call admission control, QoS and mobility management, can be improved as well. In this paper, we propose a mobility prediction algorithm based on dividing sensitive ranges. The division is in accordance with the cell transformation probability. Then different prediction methods are applied according to the sensitivity of the range to gain high precision. Simulations are conducted to evaluate the performance of the proposed scheme. As it turns out, the simulation results show that the proposed scheme can accurately predict the location for mobile users even in the situation of lacking location history. Key Words: Wireless Network, Mobility Prediction, Dividing Sensitive Ranges, W...

• Type: Conference
• Year: 2010
• Where: IWCMC
• Authors: Yuliang Tang, Der-Jiunn Deng, Yannan Yuan, Chun-Cheng Lin, Yueh-Min Huang
• Keywords: IWCMC 2010, Mobile Users, Mobility Prediction, Wireless Network