A feasibility study of LoRaWAN-based wireless underground sensor networks for underground monitoring

被引:3
|
作者
Zhao, Guozheng [1 ]
Lin, Kaiqiang [1 ]
Hao, Tong [1 ]
机构
[1] Tongji Univ, Coll Surveying & Geoinformat, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
LoRaWAN; Wireless underground sensor networks; Underground monitoring; Physical layer parameters; MODEL;
D O I
10.1016/j.comnet.2023.109851
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the continuous expansion of human interaction with the underground space, the observation of underground environment (e.g. soil moisture) and underground infrastructure (e.g. underground pipelines), as well as the monitoring and prevention of geological disasters (e.g., landslide and urban sinkholes) has attracted increasing attention and become a research focus. However, most of the traditional observation technologies are still facing difficulties in dynamic and continuous in-situ observations/monitoring within the complex underground environment. To solve this problem, this study adopts LoRaWAN-based wireless underground sensor networks (WUSNS) to monitor the underground environment or infrastructure. Furthermore, the feasibility of LoRaWAN-based WUSNs for underground monitoring is systematically demonstrated and presented in this article. Based on our recent validation of LoRa-based underground point-to-point channel model, we evaluate its network-level performance in this paper. We firstly develop a network simulator of LoRaWAN-based WUSNs to provide the feasibility analysis and experimental guidance for underground monitoring. Using this simulator, we numerically demonstrate that the LoRaWAN-based WUSNs technology is capable of underground monitoring over a large area and at great depths. We further certify that an appropriate selection of the physical layer parameters in various underground conditions is beneficial for underground observation. Finally, the balance between data receiver rate and network energy consumption can be implemented using different physical layer parameters for various underground monitoring applications. These results successfully demonstrate the efficient protocol development of LoRaWAN-based WUSNs and their applicability for underground monitoring applications.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach
    Zhao, Guozheng
    Lin, Kaiqiang
    Chapman, David
    Metje, Nicole
    Hao, Tong
    [J]. INTERNET OF THINGS, 2023, 22
  • [2] Underground structure monitoring with wireless sensor networks
    Li, Mo
    Liu, Yunhao
    [J]. PROCEEDINGS OF THE SIXTH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, 2007, : 69 - 78
  • [3] Underground Coal Mine Monitoring with Wireless Sensor Networks
    Li, Mo
    Liu, Yunhao
    [J]. ACM TRANSACTIONS ON SENSOR NETWORKS, 2009, 5 (02)
  • [4] Underground Wireless Sensor Networks
    Tninchero, D.
    Fiorelli, B.
    Galardini, A.
    Stefanelli, R.
    [J]. 2009 IEEE 10TH ANNUAL WIRELESS AND MICROWAVE TECHNOLOGY CONFERENCE, 2009, : 203 - 205
  • [5] Wireless underground sensor networks
    Sardar, Muhammad Sohail
    Xuefen, Wan
    Yi, Yang
    Kausar, Farzana
    Akbar, Mohammad Wasim
    [J]. International Journal of Performability Engineering, 2019, 15 (11) : 3042 - 3051
  • [6] Empirical Evaluation of Wireless Underground-to-Underground Communication in Wireless Underground Sensor Networks
    Silva, Agnelo R.
    Vuran, Mehmet C.
    [J]. DISTRIBUTED COMPUTING IN SENSOR SYSTEMS, PROCEEDINGS, 2009, 5516 : 231 - 244
  • [7] Development of wireless sensor networks for underground communication and monitoring systems (the cases of underground mine environments)
    Moridi, Mohammad Ali
    Sharifzadeh, Mostafa
    Kawamura, Youhei
    Jang, Hyong Doo
    [J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2018, 73 : 127 - 138
  • [8] Connectivity analysis of underground sensors in wireless underground sensor networks
    Hoang Thi Huyen Trang
    Le The Dung
    Hwang, Seong Oun
    [J]. AD HOC NETWORKS, 2018, 71 : 104 - 116
  • [9] Optimal Sensor Placement for Underground Tunnel Monitoring via Wireless Sensor Networks
    Li, Yonggang
    He, Bin
    Wang, Youming
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [10] Energy-Saving Measurement in LoRaWAN-Based Wireless Sensor Networks by Using Compressed Sensing
    Wu, Yuting
    He, Yigang
    Shi, Luqiang
    [J]. IEEE ACCESS, 2020, 8 : 49477 - 49486