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    MIM 적용을 통한 IoT 기반 무선 센서 네트워크 성능 최대화 방안 = Maximizing the capacity of the IoT-based WSNs by employing the MIM capability

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    https://www.riss.kr/link?id=A107151569

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Wireless sensor nodes adopting the advanced preamble detection function, Message-In-Mesage (MIM), maximize the concurrent transmission opportunities due to the capture effect, result in improving the system performance significantly compared to the legacy IEEE 802.15.4 based sensor devices. In this paper, we propose an MIM capture probability model to analyze the performance gains by applying the MIM function to the wireless sensor nodes. We implemented the IEEE 802.15.4 and MIM by Python and performed extensive simulations to verify the performance gains through MIM capture effects. The evaluation results show that the MIM sensors achieve 34% system throughput gains and 31% transmission delay gains over the legacy IEEE 802.15.4-based sensors, which confirm that it was consistent with the analysis result of the proposed MIM capture probability model.
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    Wireless sensor nodes adopting the advanced preamble detection function, Message-In-Mesage (MIM), maximize the concurrent transmission opportunities due to the capture effect, result in improving the system performance significantly compared to the le...

    Wireless sensor nodes adopting the advanced preamble detection function, Message-In-Mesage (MIM), maximize the concurrent transmission opportunities due to the capture effect, result in improving the system performance significantly compared to the legacy IEEE 802.15.4 based sensor devices. In this paper, we propose an MIM capture probability model to analyze the performance gains by applying the MIM function to the wireless sensor nodes. We implemented the IEEE 802.15.4 and MIM by Python and performed extensive simulations to verify the performance gains through MIM capture effects. The evaluation results show that the MIM sensors achieve 34% system throughput gains and 31% transmission delay gains over the legacy IEEE 802.15.4-based sensors, which confirm that it was consistent with the analysis result of the proposed MIM capture probability model.

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    참고문헌 (Reference)

    1 "https://www.python.org/"

    2 M. Zimmerling, "Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services" 2020

    3 J. Manweiler, "Order Matters: Transmission Reordering in Wireless Networks" 20 : 353-366, 2011

    4 J. Lee, "Opportunities of MIM C apture in IEEE 802.11 WLANs: Analytic Study" 2011

    5 N. Santhapuri, "Message in message (mim): A case for reordering transmissions in wireless networks, HotNets VII"

    6 D. Bankov, "Mathematical model of LoRaWAN channel access with capture effect" 2017

    7 X. Ma, "Gathering data with packet-in-packet in wireless sensor networks" 170 : 107124-, 2020

    8 I. Selinis, "Exploiting the Capture Effect on DSC and BSS Color in Dense IEEE 802.11ax Deployments" US. DOI : 10. 1145/3067665. 3067672 47-54, 2017

    9 T. Attia, "Experimental Characterization of LoRaWAN Link Quality" 252-261, 2019

    10 J. Choi, "Detection of Misconfigured Wi-Fi Tethering in Managed Networks" 10 (10): 7203-, 2020

    1 "https://www.python.org/"

    2 M. Zimmerling, "Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services" 2020

    3 J. Manweiler, "Order Matters: Transmission Reordering in Wireless Networks" 20 : 353-366, 2011

    4 J. Lee, "Opportunities of MIM C apture in IEEE 802.11 WLANs: Analytic Study" 2011

    5 N. Santhapuri, "Message in message (mim): A case for reordering transmissions in wireless networks, HotNets VII"

    6 D. Bankov, "Mathematical model of LoRaWAN channel access with capture effect" 2017

    7 X. Ma, "Gathering data with packet-in-packet in wireless sensor networks" 170 : 107124-, 2020

    8 I. Selinis, "Exploiting the Capture Effect on DSC and BSS Color in Dense IEEE 802.11ax Deployments" US. DOI : 10. 1145/3067665. 3067672 47-54, 2017

    9 T. Attia, "Experimental Characterization of LoRaWAN Link Quality" 252-261, 2019

    10 J. Choi, "Detection of Misconfigured Wi-Fi Tethering in Managed Networks" 10 (10): 7203-, 2020

    11 R. Xiao, "Content-Based Efficient Messages Transmission in WSNs" 2018 : 2018

    12 B. A. Nahas, "Concurrent Transmissions for Multi-Hop Bluetooth 5" 130-141, 2019

    13 M. Mohammad, "Codecast: Supporting Data Driven In-Network Processing for Low-Power Wireless Sensor Networks" Portugal. DOI : 10. 1109/IPSN. 2018. 00014 72-83, 2018

    14 H. Lee, "BeaconRider: Opportunistic Sharing of Beacon Air-Time in Densely Deployed WLANs" 1-11, 2019

    15 Y. Kang, "A distributed message in message aware concurrent transmission protocol in IEEE 802.11 WLANs" 2 (2): 2012

    16 B. Khan, "A Joint Strategy for Fair and Efficient Energy Usage in WLANs in the Presence of Capture Effect" 8 (8): 2019

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2025 평가 신규평가 신청대상 (신규평가)
    2022-06-01 등재 등재학술지 취소
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2018-01-01 등재 등재학술지 선정 (계속평가) KCI등재
    2017-02-02 학술지명변경 한글명 : 중소기업융합학회논문지 -> 융합정보논문지
    외국어명 : Journal of Convergence Society for SMB -> Journal of Convergence for Information Technology
    KCI등재후보
    2016-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0 0 0
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0 0 0 0
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