BlueScan: Boosting Wi-Fi Scanning Efficiency Using Bluetooth Radio

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) Pub Date : 2018-06-01 DOI:10.1109/SAHCN.2018.8397125

Juheon Yi, Weiping Sun, Jonghoe Koo, Seongho Byeon, Jaehyuk Choi, Sunghyun Choi

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引用次数: 4

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.

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BlueScan:使用蓝牙无线电提高Wi-Fi扫描效率

对无处不在的无线连接的日益增长的需求导致了Wi-Fi网络的普及。然而，由于Wi-Fi网络的覆盖范围有限，sta需要频繁地搜索邻近的Wi-Fi接入点(ap)。在Wi-Fi扫描过程中，由于STA通常对相邻ap没有任何先验知识，因此不可避免地会产生低效率，从而导致不必要的时间和精力浪费。在本文中，我们提出了BlueScan，一种使用并置蓝牙无线电来增强Wi-Fi扫描的方案。BlueScan通过识别邻近ap的工作信道和目标信标传输时间(tbtt)，通过低功耗蓝牙无线电增强Wi-Fi扫描，从而将Wi-Fi扫描从盲目搜索转变为智能搜索。我们利用Ubertooth平台实现了BlueScan的原型，并通过实际实验对其性能进行了评估。我们的研究结果表明，与传统的Wi-Fi扫描相比，BlueScan将扫描延迟减少了77%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

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