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BlueScan: Boosting Wi-Fi scanning efficiency using bluetooth radio

Authors
Yi, J.Sun, W.Koo, J.Byeon, S.Choi, J.Choi, S.
Issue Date
2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018, pp.1 - 9
Journal Title
2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018
Start Page
1
End Page
9
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4376
DOI
10.1109/SAHCN.2018.8397125
ISSN
0000-0000
Abstract
The increasing demand for ubiquitous wireless connectivity has led to the widespread of Wi-Fi networks. However, due to the limited coverage of Wi-Fi networks, mobile stations (STAs) need to frequently search for neighboring Wi-Fi access points (APs). Inevitable inefficiency occurs during the Wi-Fi scanning since the STA typically does not have any prior knowledge of the neighboring APs, thus leading to unnecessary waste of time and energy. In this paper, we propose BlueScan, a scheme to boost Wi-Fi scanning using collocated Bluetooth radio. BlueScan enhances Wi-Fi scanning with low power Bluetooth radio by identifying the operating channels and target beacon transmission times (TBTTs) of neighboring APs, thus changing the Wi-Fi scanning from a blind search to an intelligent search. We implement a prototype of BlueScan using Ubertooth platform, and evaluate its performance through real experiments. Our results demonstrate that BlueScan reduces the scanning delay up to 77% compared to legacy Wi-Fi scanning. © 2018 IEEE.
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