Summary
IEICE Information and Communication Technology Forum
2020
Session Number:ICTF_4
Session:
Number:ICTF2020_paper_3
Indoor Crowd Estimation Scheme Using the Number of Wi-Fi Probe Requests under MAC Address Randomization
Yuki Furuya, Hiromu Asahina, Masashi Yoshida, Iwao Sasase,
pp.-
Publication Date:2021/03/24
Online ISSN:2188-5079
DOI:10.34385/proc.64.ICTF2020_paper_3
Summary:
As smartphones have become widespread in the past decade, Wi-Fi signal-based crowd estimation schemes are receiving increased attention. These estimation schemes count the number of unique MAC addresses in Wi-Fi signals, hereafter called probe requests (PRs), instead of counting the number of people. However, these estimation schemes have low accuracy of crowd estimation under MAC address randomization that replaces a unique MAC address with various dummy MAC addresses. To solve this problem, in this paper, we propose an indoor crowd estimation scheme using the number of PRs under MAC address randomization. The main idea of the proposed scheme is to leverage the fact that the number of PRs per a unit of time changes in proportion to the number of smartphones. Since a smartphone tends to send a constant number of PRs per a unit of time, the proposed scheme can estimate the accurate number of smartphones. Various experiment results show that the proposed scheme reduces estimation error by at most 75% compared to the conventional Wi-Fi signalbased crowd estimation scheme in an indoor environment.