Real-time monitoring of partially stable slopes for Landslide prediction by using Wireless Sensor Networks

Ahmed, Mohammed M.; Pothalaiah, Sake; Rao, D. Sreenivasa

doi:10.1109/get.2016.7916638

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…In [ 99 ], a LabVIEW program [ 100 ] was developed for the purpose of analysis and presentation of the data collected from an energy-efficient WSN that could run unattended for months. The system was built on the IEEE 802.15.4 [ 101 ] protocol, and the various monitored parameters were volumetric water content in the soil, seismic vibrations, displacement of the soil layer, soil temperature, and rainfall measurement.…”

Section: Rockfall and Landslide Monitoring Based On Wsnsmentioning

confidence: 99%

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

Ragnoli,

Scarsella,

Leoni

et al. 2023

Sensors

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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.

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Section: Rockfall and Landslide Monitoring Based On Wsnsmentioning

confidence: 99%

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

Ragnoli,

Scarsella,

Leoni

et al. 2023

Sensors

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“…An algorithm is formulated which predicts Landslide or slope failure from the sensed data of areas where slope failure occurs. This is implemented in LabVIEW using WSN [11]. Akyildiz et al [12] 2001 review the integration of WSN and MEMS technology to enhance performance of sensor networks.…”

Section: Related Workmentioning

confidence: 99%

Critical review on slope monitoring systems with a vision of unifying WSN and IoT

Yadav

Jayanthu

Das

et al. 2019

IET wirel. sens. syst.

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Slope stability is one of the major geological concerns in open-cast mines. The mining area slopes needs to be regularly monitored to detect occurrence of any slope failure prior to any catastrophe. An early warning system solves this purpose preventing loss of significant mass of human lives as well as property. This is a critical scrutiny which renders various techniques and methodologies regarding slope monitoring of open-cast mine. Wireless sensor network (WSN) has been standing out as a productive competent tool for monitoring the tangible environmental structures by sensing the differences, processing this raw data and finally communicating the result to the web from where it can be referred for researches and predicting mechanisms. Internet of Things (IoT) comes into picture for communicating the sensed and processed data from the sensors to the application where it can be further analysed. In recent scenario, power issue is of great concern associated with deploying a real-time monitoring system. This review depicts how WSN can be adopted and preferred to any other technologies used in slope monitoring due to its advantages it brings. Moreover, collaborative operation of WSN with IoT results in a more systematic, robust, energy-efficient, cost-effective real-time monitoring approach.

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“…LEACH-GA increased the network lifetime by 54% compared to the LEACH protocol. Mohammed Moyed et al (10) proposed a method in which the authors tried to monitor landslides in real time applications; however, the authors did not put any attention for the enhancement of energy, hence may not be the optimum solution to real time applications.…”

Section: Introductionmentioning

confidence: 99%

Cluster Based Energy Efficient Routing Protocol using SA-LEACH to Wireless Sensor Networks

Chekuri¹,

Bhandari²

2023

IJST

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Objectives: To develop an energy efficient routing protocol using SA-LEACH to Wireless Sensor Networks (WSN). Methods: The Simulated Annealing (SA) and LEACH algorithms are used to optimize the energy and maximize the active period of the network nodes. Here, initially the selection of the cluster head will be chosen by LEACH protocol; however, it is further investigated by SA algorithm to get better neighboring node (if exist) when compared with the selected one cluster head. Findings: There is an improvement in the throughput by 5.25%, 30% when compared with EE-LEACH and LEACH algorithms respectively. Also, energy is improved by 11.11% and 23.07% when compared to EE-LEACH and LEACH respectively. The performance of the designed algorithm has well suited for Coal mine industry, in which large number of sensor nodes is deployed to monitor the situation of the coal mine, continuously. Novelty: The designed algorithm is simple and effective. Furthermore, the proposed approach can enhance the rural healthcare monitoring system.

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Real-time monitoring of partially stable slopes for Landslide prediction by using Wireless Sensor Networks

Cited by 9 publications

References 8 publications

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

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

Critical review on slope monitoring systems with a vision of unifying WSN and IoT

Cluster Based Energy Efficient Routing Protocol using SA-LEACH to Wireless Sensor Networks

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