User behavior model and statistical transition map to assist advanced WLAN applications

摘要

A statistical transition map is built based on mobile wireless device user mobility history data. This data is useful to assist various wireless local area network applications. Received signal strength and location trace information associated with movements of mobile wireless devices in a wireless network is collected. The received signal strength and location trace information is converted to a sequence of natural language pseudo-location word labels representing pseudo-locations of each mobile wireless device as each mobile wireless device moves about with respect to a plurality of wireless access point devices in the wireless network. A statistical transition map is generated for each mobile wireless device from the sequence of natural language pseudo-location word labels using a natural language model. A probability of a next pseudo-location for a particular mobile wireless device is computed based on its current location and its statistical transition map.