Self-Tuning of Signal Detection Level for Energy Detection-Based Carrier Sense in Low-Power Wide-Area Networks

被引:1
|
作者
Narieda, Shusuke [1 ]
Fujii, Takeo [2 ]
机构
[1] Mie Univ, Grad Sch Engn, Tsu, Mie 5148507, Japan
[2] Univ Electrocommun, Adv Wireless & Commun Res Ctr AWCC, Chofu, Tokyo 1828585, Japan
关键词
carrier sense; energy detection; low-power wide-area networks; LORA;
D O I
10.3390/s24113368
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Carrier sense allows end devices to improve the communication quality through autonomous decentralization by consuming power. In particular, energy detection-based carrier sense can improve communication quality compared with peak detection-based carrier sense. To improve the trade-off between communication quality and energy consumption in low-power wide-area networks (LPWANs), this study proposes a self-tuning method for the signal detection level of an energy detection-based carrier sense, that is, the carrier sense level in sub-GHz band LPWANs. In the proposed method, the carrier sense level of each end device is determined based on the reception success probability of the acknowledgment packet, such that they become low carrier sense levels for an end device with low probability and high carrier sense levels for an end device with high probability. The proposed method enables autonomous decentralized derivation of the carrier sense level using only existing protocols. Numerical examples show that the proposed method can improve the performance of end devices with a high path loss to a gateway.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] On the Use of Carrier Sense Mechanisms in Low-Power Wide Area Networks
    Ben Khalifa, Abderrahman
    Stanica, Razvan
    Rivano, Herve
    12TH WIRELESS DAYS CONFERENCE (WD 2021), 2020,
  • [2] Low-power wide-area networks at the IETF
    Thubert P.
    Pelov A.
    Krishnan S.
    2017, Institute of Electrical and Electronics Engineers Inc., United States (01): : 76 - 79
  • [3] PhD Forum Abstract: Low-Power Wide-Area Networks: Connect, Sense and Secure
    Gadre, Akshay
    2020 19TH ACM/IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN 2020), 2020, : 377 - 378
  • [4] Control over Low-Power Wide-Area Networks
    Jain, Aakriti
    Modekurthy, Prashant
    Saifullah, Abusayeed
    PROCEEDINGS 15TH ACM/IEEE INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SYSTEMS, ICCPS 2024, 2024, : 192 - 201
  • [5] Crowdsourcing Low-Power Wide-Area IoT Networks
    Zhang, Keyi
    Marchiori, Alan
    2017 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS (PERCOM), 2017,
  • [6] LOW-POWER WIDE-AREA NETWORKS FOR SUSTAINABLE IoT
    Qin, Zhijin
    Li, Frank Y.
    Li, Geoffrey Ye
    McCann, Julie A.
    Ni, Qiang
    IEEE WIRELESS COMMUNICATIONS, 2019, 26 (03) : 140 - 145
  • [7] Modelling and Analysis of Low-Power Wide-Area Networks
    Qin, Zhijin
    Liu, Yuanwei
    Li, Geoffrey Ye
    McCann, Julie A.
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [8] Low-Power Wide-Area Networks: Opportunities, Challenges, and Directions
    Ismail, Dali
    Rahman, Mahbubur
    Saifullah, Abusayeed
    PROCEEDINGS OF THE WORKSHOP PROGRAM OF THE 19TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND NETWORKING (ICDCN'18), 2018,
  • [9] Low-Power Wide-Area Networks for Industrial Sensing Applications
    Sommer, Philipp
    Maret, Yannick
    Dzung, Dacfey
    2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INTERNET (ICII 2018), 2018, : 23 - 32
  • [10] Maximizing Coverage in Low-Power Wide-Area loT Networks
    Marchiori, Alan
    2017 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 2017,