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학술지 DG-LoRa: Deterministic Group Acknowledgment Transmissions in LoRa Networks for Industrial IoT Applications
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저자
이준희, 윤영석, 오현우, 박광로
발행일
202102
출처
Sensors, v.21 no.4, pp.1-18
ISSN
1424-8220
출판사
MDPI
DOI
https://dx.doi.org/10.3390/s21041444
협약과제
20PB1300, 지능형 신발공장을 위한 통합관리시스템 개발, 박광로
초록
In this paper, we propose a novel MAC protocol, called DG-LoRa, for improving scalability in low power wide area networks. DG-LoRa is backward compatible with legacy LoRaWAN and adds new features, such as group acknowledgment transmissions in the time-synchronized frame structure that supports determinism on channel access. In DG-LoRa, the number of responses to data frames that are transmitted from end devices is maximized by allocating the spreading factor and timeslot in the frame structure. We evaluate the performance of DG-LoRa using the Monte-Carlo simulation and then compare it with the performance of legacy LoRaWAN in terms of data drop rate and the number of retransmissions. Our numerical results show that DG-LoRa supports approximately five times more connections to the LoRa network satisfying a 5% data drop rate. Also, it is observed that DG-LoRa enables low overhead by reducing the number of data frame retransmissions.
KSP 제안 키워드
Backward Compatible, Channel Access(CA), Data drop rate, Data frame, Frame structure, IOT applications, LoRa networks, Low Power Wide Area Network, MAC protocol, Monte-Carlo simulation(MCS), Numerical results
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