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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