Research on WiFi User Dwell Time Distribution

Abstract

In order to study the distribution law of human mobility time attribute and identify the individual identity according to the law, six months real data is collected in different scenarios through the Wireless-Data-Collection-Analysis-System developed by our laboratory. On the basis of AIC, we analyze the time distribution from the perspectives of wireless hotspot group users and individual users respectively. From the perspective of the group users, we verify that the users' daily cumulative dwell time meets the power-law distribution model. According to each user's average daily dwell time, we analyze the probability distribution of the average daily dwell time and conclude that it is consistent with the power-law with exponential cut off. From the angle of an individual user, we analyze the distribution of its daily dwell time in different time sections. The result shows that the daily dwell time probability distribution of the users who work on time is consistent with the multi-peak Gaussian distribution, and the moment of the highest peak point of different individuals are close. However, the distribution of the daily dwell time for those who do not need to work on time is related to the average daily dwell time. The shorter the average daily dwell time is, the better the distribution is in line with the long-tailed distribution.

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