A methodology for assessing the predictable behaviour of mobile users in wireless networks

摘要

The analysis of the predictability of human behaviour is an emerging topic in the ubiquitous computingrncommunity. Recent endeavours in studying the human behaviour are either based on synthetic models orrnon real mobile user traces, but what they are mainly focusing on is location: discovering travel patterns orrnanticipating the whereabouts of mobile users. We extend the analysed context by studying the wirelessrnbehaviour of mobile users: interactions with both peers and network devices in academic and office environments.rnWe propose a methodology and a set of guidelines to assess and aid in analysing wireless mobilerntraces. We prove that the human behaviour is predictable when the studied traced sets are convergent, completernand correct, and we obtain a surprising invariability in interacting with wireless access points, as we arernable to pinpoint a wireless user to one of two locations at any specific hour.