TY - JOUR
T1 - EasyAPPos
T2 - Positioning Wi-Fi Access Points by Using a Mobile Phone
AU - Shih, Wan Ting
AU - Wen, Chao Kai
AU - Tsai, Shang Ho
AU - Liu, Ran
AU - Yuen, Chau
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2023/8/1
Y1 - 2023/8/1
N2 - Determining the location of Wi-Fi access points (APs) is vital for various Wi-Fi-based applications, such as localization, security, and AP deployment. Considerable effort has been exerted in the field of AP localization. In contrast to studies that require additional robots with specialized antenna arrays, we present EasyAPPos, a lightweight, always-on, and user-centered AP positioning solution that utilizes widely available mobile phones. We focus on addressing three challenges in AP positioning. First, the patch antenna on a mobile phone has a limited angular range due to its size, but our approach proposes a method for utilizing human natural rotation to enhance angular diversity. Second, our angle-based algorithm does not require synchronous clocks between the mobile device and the APs, in contrast to existing algorithms that require this synchrony to transform propagation delays into positions. Nevertheless, our algorithm can still utilize asynchronous delay information. Third, the low bandwidth of Wi-Fi beacon frames, which only provide limited capacity to counteract the effects of multipath, is addressed by performing AP positioning under challenging conditions. We validate EasyAPPos through simulations and experiments, which demonstrate its ability to achieve decimeter-level positioning accuracy even under harsh conditions.
AB - Determining the location of Wi-Fi access points (APs) is vital for various Wi-Fi-based applications, such as localization, security, and AP deployment. Considerable effort has been exerted in the field of AP localization. In contrast to studies that require additional robots with specialized antenna arrays, we present EasyAPPos, a lightweight, always-on, and user-centered AP positioning solution that utilizes widely available mobile phones. We focus on addressing three challenges in AP positioning. First, the patch antenna on a mobile phone has a limited angular range due to its size, but our approach proposes a method for utilizing human natural rotation to enhance angular diversity. Second, our angle-based algorithm does not require synchronous clocks between the mobile device and the APs, in contrast to existing algorithms that require this synchrony to transform propagation delays into positions. Nevertheless, our algorithm can still utilize asynchronous delay information. Third, the low bandwidth of Wi-Fi beacon frames, which only provide limited capacity to counteract the effects of multipath, is addressed by performing AP positioning under challenging conditions. We validate EasyAPPos through simulations and experiments, which demonstrate its ability to achieve decimeter-level positioning accuracy even under harsh conditions.
KW - Channel state information (CSI)
KW - Wi-Fi access points (APs) localization
KW - simultaneous localization and mapping (SLAM)
UR - http://www.scopus.com/inward/record.url?scp=85153340737&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2023.3263049
DO - 10.1109/JIOT.2023.3263049
M3 - Article
AN - SCOPUS:85153340737
SN - 2327-4662
VL - 10
SP - 13385
EP - 13400
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 15
ER -