Scalability Performance for Low Power Wide Area Network Technology using Multiple Gateways

被引:0
|
作者
Latiff, N. A. Abdul [1 ]
Ismail, I. S. [1 ]
Yusoff, M. H. [2 ]
机构
[1] Univ Malaysia Terengganu, Fac Ocean Engn Technol & Informat, Kuala Terengganu, Malaysia
[2] Univ Sultan Zainal Abidin, Fac Informat & Comp, Kuala Terengganu, Malaysia
关键词
Low power wide area network; scalability; simulation; multiple gateways;
D O I
10.14569/ijacsa.2020.0110128
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Low Power Wide Area Network is one of the leading technologies for the Internet of Things. The capability to scale is one of the advantage criteria for a technology to compare to each other. The technology uses a star network topology for communication between the end-node and gateway. The star network topology enables the network to support a large number of end-nodes and with multiple of gateways deployed in the network, it can increase the number of end nodes even more. This paper aims to investigate the performance of the Low Power Wide Area Network Technology, focusing on the capability of the network to scale using multiple gateways as receivers. We model the network system based on the communication behaviours between the end-node and gateways. We also included the communication limit range for the data signal from the end-node to successfully be received by the gateways. The performance of the scalability for the Low Power Wide Area Network Technology is shown by the successfully received packet data at the gateways. The simulation to study the scalability was done based on several parameters, such as the number of end-nodes, gateways, channels and also application time. The results show that the amount of successfully received data signal at gateway increased as the gateways, application time and channel used increased.
引用
收藏
页码:212 / 218
页数:7
相关论文
共 50 条
  • [1] Performance of a low-power wide-area network based on LoRa technology: Doppler robustness, scalability, and coverage
    Petajajarvi, Juha
    Mikhaylov, Konstantin
    Pettissalo, Marko
    Janhunen, Janne
    Iinatti, Jari
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 13 (03)
  • [2] A Study of LoRa Low Power and Wide Area Network Technology
    Noreen, Umber
    Bounceur, Aheene
    Clavier, Laurent
    2017 3RD INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP), 2017, : 580 - 585
  • [3] Scalability analysis of multiple LoRa gateways using stochastic geometry
    Aftab, Noman
    Zaidi, Syed Ali Raza
    McLernon, Des
    INTERNET OF THINGS, 2020, 9
  • [4] Performance assessment of a low power wide area network in rural smart grids
    Barriquello, Carlos H.
    Bernardon, Daniel P.
    Canha, Luciane Neves
    Soares e Silva, Flavio E.
    Porto, Daniel Sperb
    da Silveira Ramos, Maicon J.
    2017 52ND INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2017,
  • [5] Industrial Network Design Using Low-Power Wide-Area Network
    Penkov, Stoitcho
    Taneva, Albena
    Kalkov, Vasil
    Ahmed, Sevil
    2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2017, : 40 - 44
  • [6] Transmission Tower Tilt Monitoring System Using Low-Power Wide-Area Network Technology
    Zhang, Xihai
    Zhao, Yan
    Zhou, Lin
    Zhao, Jian
    Dong, Wenbin
    Zhang, Mingming
    Lv, Xitong
    IEEE SENSORS JOURNAL, 2021, 21 (02) : 1100 - 1107
  • [7] Realization of Forest Internet of Things Using Wireless Network Communication Technology of Low-Power Wide-Area Network
    Zhao, Ming
    Ye, Ren-Jie
    Chen, Shuo-Tsung
    Chen, Yen-Chun
    Chen, Zi-Yu
    SENSORS, 2023, 23 (10)
  • [8] Communication Performance of a Real-Life Wide-Area Low-Power Network Based on Sigfox Technology
    Mikhaylov, Konstantin
    Stusek, Martin
    Masek, Pavel
    Fujdiak, Radek
    Mozny, Radek
    Andreev, Sergey
    Hosek, Jiri
    ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
  • [9] Survey of the low power wide area network technologies
    Gu, Fei
    Niu, Jianwei
    Jiang, Landu
    Liu, Xue
    Atiquzzaman, Mohammed
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2020, 149
  • [10] Development and applications of slope and river monitoring system using low-power wide-area network technology
    Achmad Hafidz
    Naoki Kinoshita
    Hideaki Yasuhara
    Shinji Tsuzuki
    Journal of Civil Structural Health Monitoring, 2023, 13 : 83 - 100