Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

被引:3
|
作者
Ragnoli, Mattia [1 ]
Scarsella, Massimo [1 ]
Leoni, Alfiero [1 ]
Ferri, Giuseppe [1 ]
Stornelli, Vincenzo [1 ]
机构
[1] Univ Aquila, Dept Ind & Informat Engn & Econ, I-67100 Laquila, Italy
关键词
geohazard; IoT; landslide monitoring; risk assessment; rockfall monitoring; sensors; wireless sensor network; MACHINE LEARNING-METHODS; SUSCEPTIBILITY; INVENTORY; RISK; UNCERTAINTY; GEOHAZARDS; DEPLOYMENT; CATALONIA; DESIGN;
D O I
10.3390/s23167278
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Rockfalls and landslide events are caused by different factors among which are included geomorphological and climatic factors and also human interaction. Therefore, the economic and social impacts can be significant and the remote monitoring of such hazards has become an essential topic in various applications. Wireless sensor networks (WSNs) are well suited for the deployment of monitoring systems, benefiting from the different technologies and topologies that are available and evolving nowadays. This review paper aims to summarize and overview the up-to-date state of the art of rockfall and landslide monitoring systems based on WSNs. The implementation and methods were analyzed for each solution, along with the system architecture and relevant hardware aspects. All the retrieved data were used to analyze the current trends and future possibilities in the field of WSN geohazard monitoring.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Wireless sensor network in landslide monitoring system with remote data management
    Vu Van Khoa
    Takayama, Shigeru
    MEASUREMENT, 2018, 118 : 214 - 229
  • [32] Landslide monitoring and prediction system using geosensors and wireless sensor network
    Swades Kumar Chaulya
    Pankaj Kumar Mishra
    Naresh Kumar
    Vikash Kumar
    Vijay Kumar Rawani
    Discover Geoscience, 2 (1):
  • [33] LoRa-Based Wireless Sensors Network for Rockfall and Landslide Monitoring: A Case Study in Pantelleria Island with Portable LoRaWAN Access
    Ragnoli, Mattia
    Leoni, Alfiero
    Barile, Gianluca
    Ferri, Giuseppe
    Stornelli, Vincenzo
    JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, 2022, 12 (03)
  • [34] Energy Consumption Reduction in Wireless Sensor Network-Based Water Pipeline Monitoring Systems via Energy Conservation Techniques
    Nkemeni, Valery
    Mieyeville, Fabien
    Tsafack, Pierre
    FUTURE INTERNET, 2023, 15 (12)
  • [35] A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems
    Yi, Wei Ying
    Lo, Kin Ming
    Mak, Terrence
    Leung, Kwong Sak
    Leung, Yee
    Meng, Mei Ling
    SENSORS, 2015, 15 (12) : 31392 - 31427
  • [36] A MEMS-based commutation module with vibration sensor for wireless sensor network-based tunnel-blasting monitoring
    Jungyeol Kim
    Soonwook Kwon
    Seunghee Park
    Youngsuk Kim
    KSCE Journal of Civil Engineering, 2013, 17 : 1644 - 1653
  • [37] A MEMS-based commutation module with vibration sensor for wireless sensor network-based tunnel-blasting monitoring
    Kim, Jungyeol
    Kwon, Soonwook
    Park, Seunghee
    Kim, Youngsuk
    KSCE JOURNAL OF CIVIL ENGINEERING, 2013, 17 (07) : 1644 - 1653
  • [38] Adaptive landslide monitoring in wireless sensor networks using FLPSO-based MIP systems
    Lingaraj, K.
    Malghan, Rashmi Laxmikant
    Rao, Karthik M. C.
    Garg, Lalit
    RESULTS IN ENGINEERING, 2025, 25
  • [39] An efficient cluster head selection for wireless sensor network-based smart agriculture systems
    Gheisari, Mehdi
    Yaraziz, Mahdi Safaei
    A Alzubi, Jafar
    Fernández-Campusano, Christian
    Reza Feylizadeh, Mohammad
    Pirasteh, Saied
    Afzaal Abbasi, Aaqif
    Liu, Yang
    Lee, Cheng-Chi
    Computers and Electronics in Agriculture, 2022, 198
  • [40] An efficient cluster head selection for wireless sensor network-based smart agriculture systems
    Gheisari, Mehdi
    Yaraziz, Mahdi Safaei
    Alzubi, Jafar A.
    Fernandez-Campusano, Christian
    Feylizadeh, Mohammad Reza
    Pirasteh, Saied
    Abbasi, Aaqif Afzaal
    Liu, Yang
    Lee, Cheng-Chi
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 198