BLESS: BLE-aided swift Wi-Fi scanning in multi-protocol IoT networks

Wonbin Park, Dokyun Ryoo, Changhee Joo, Saewoong Bahk

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    Wi-Fi scanning that searches neighboring access points (APs) is an essential prerequisite for Wi-Fi operations such as initial association and handover. As the traffic demand increases, APs are more densely deployed and the number of operating Wi-Fi channels also increases, which, however, results in additional scanning delay and makes the scanning a burdensome task. In this paper, we note that the co-location of Wi-Fi protocol with BLE protocol is a common practice in IoT networks, and develop a Wi-Fi passive scanning framework that uses BLE to assist scanning. Although the framework has great potential to improve scanning performance without explicit message exchanges, there are technical challenges related to time synchronization and channel switching delay. We address the challenges and develop a practical passive scanning scheme, named BLESS-Sync. We verify its performance through testbed experiments and extensive simulations, and show that BLESS-Sync significantly outperforms legacy Wi-Fi scanning in terms of scanning delay and energy efficiency.

    Original languageEnglish
    Title of host publicationINFOCOM 2021 - IEEE Conference on Computer Communications
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9780738112817
    DOIs
    Publication statusPublished - 2021 May 10
    Event40th IEEE Conference on Computer Communications, INFOCOM 2021 - Vancouver, Canada
    Duration: 2021 May 102021 May 13

    Publication series

    NameProceedings - IEEE INFOCOM
    Volume2021-May
    ISSN (Print)0743-166X

    Conference

    Conference40th IEEE Conference on Computer Communications, INFOCOM 2021
    Country/TerritoryCanada
    CityVancouver
    Period21/5/1021/5/13

    Bibliographical note

    Funding Information:
    This work was supported in part by Institute of Information communications Technology Planning Evaluation (IITP) grant funded by the Korea government (MSIT) (No.2018-0-00923), in part by Institute for Information communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (No. 2018-0-00815), and in part by the MSIT, Korea, under the ICT Creative Consilience program (IITP-2020-0-01819) supervised by the IITP.

    Publisher Copyright:
    © 2021 IEEE.

    Keywords

    • Bluetooth low energy
    • IoT
    • Scheduling
    • Wi-Fi scanning

    ASJC Scopus subject areas

    • General Computer Science
    • Electrical and Electronic Engineering

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