Low-Cost Sensor-Based and LoRaWAN Opportunities for Landslide Monitoring Systems on IoT Platform: A Review

被引:30
作者
Bagwari, Swapnil [1 ]
Gehlot, Anita [2 ]
Singh, Rajesh [2 ]
Priyadarshi, Neeraj [3 ]
Khan, Baseem [4 ]
机构
[1] Lovely Profess Univ, Sch Elect & Elect Engn, Phagwara 144411, Punjab, India
[2] Uttaranchal Univ, Div Res & Innovat, Dehra Dun 248007, Uttarakhand, India
[3] Aarhus Univ, Dept Business Dev & Technol, CTiF Global Capsule, DK-7400 Herning, Denmark
[4] Hawassa Univ, Dept Elect & Comp Engn, Hawassa 05, Ethiopia
关键词
Terrain factors; Monitoring; Wireless sensor networks; Robot sensing systems; Remote sensing; Hazards; Earth; IoT; landslide monitoring; slop stability; LoRaWAN; ground vibration; wireless sensor network; EARLY-WARNING SYSTEM; WIRELESS SENSOR; ENERGY-EFFICIENT; RAINFALL THRESHOLD; IMAGE-ANALYSIS; DESIGN; ARCHITECTURE; INTERNET; NETWORK; THINGS;
D O I
10.1109/ACCESS.2021.3137841
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Landslides are a frequent natural hazard during the rainy season, causing infrastructural and economic damage globally. Several studies on landslide monitoring techniques have been conducted in order to reduce various types of losses. There is an extensive review in this article of the ground monitoring method that uses a variety of sensors and some of the primary advances that help to enhance architecture and fulfill user needs. Study of cost-effective ground monitoring technique analysis in different landslide warning systems and some known cases in research article based on coverage area and energy harvesting methods also discussed. Moreover, WSN architecture identified and creates classes according to their benefits and drawbacks as well as performance is evaluated such as efficiency, reliability, quality of service, and network lifetime.
引用
收藏
页码:7107 / 7127
页数:21
相关论文
共 158 条
[1]   Rockfall monitoring by Terrestrial Laser Scanning - case study of the basaltic rock face at Castellfollit de la Roca (Catalonia, Spain) [J].
Abellan, A. ;
Vilaplana, J. M. ;
Calvet, J. ;
Garcia-Selles, D. ;
Asensio, E. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2011, 11 (03) :829-841
[2]   Developing a prototype landslide early warning system for Darjeeling Himalayas using SIGMA model and real-time field monitoring [J].
Abraham, Minu T. ;
Satyam, Neelima ;
Pradhan, Biswajeet ;
Segoni, Samuele ;
Alamri, Abdullah .
GEOSCIENCES JOURNAL, 2022, 26 (02) :289-301
[3]   IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas [J].
Abraham, Minu Treesa ;
Satyam, Neelima ;
Pradhan, Biswajeet ;
Alamri, Abdullah M. .
SENSORS, 2020, 20 (09)
[4]   Understanding the Limits of LoRaWAN [J].
Adelantado, Ferran ;
Vilajosana, Xavier ;
Tuset-Peiro, Pere ;
Martinez, Borja ;
Melia-Segui, Joan ;
Watteyne, Thomas .
IEEE COMMUNICATIONS MAGAZINE, 2017, 55 (09) :34-40
[5]  
Aggarwal S, 2018, 2018 3RD INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT)
[6]  
Akkaya K, 2003, 23RD INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS, P710
[7]  
Ali ZH., 2015, Int. J. Comput. Appl, V128, P37, DOI DOI 10.5120/IJCA2015906430
[8]   A Compact Low-Power LoRa IoT Sensor Node with Extended Dynamic Range for Channel Measurements [J].
Ameloot, Thomas ;
Van Torre, Patrick ;
Rogier, Hendrik .
SENSORS, 2018, 18 (07)
[9]   A critical review of landslide monitoring experiences [J].
Angeli, MG ;
Pasuto, A ;
Silvano, S .
ENGINEERING GEOLOGY, 2000, 55 (03) :133-147
[10]  
[Anonymous], 2014, Internet of Things: Wireless Sensor Networks