ABSTRACT

With the explosive growth in wireless devices like smart phones, PDA’s, netbooks, WLAN networks are usually overloaded at workplaces, social and home environments. Though a large number of mobility models have been proposed, a better way is to study wireless mobility traces which gives more accurate movement information for a population. An accurate location predictor can significantly improve the performance or reliability of wireless network protocols and the wireless network infrastructure itself. These improvements lead to a better user experience to a more cost-effective infrastructure or both. In this work, it is proposed to study mobility traces and generate rules for mobility of users which was previously unknown in campus wide wireless network. We also study analyze and show that at certain locations access points are very rarely used.