Intellectual Zigbee Supported Wireless Sensor Network for Landslide Supervision System

The Landslides are catastrophic natural events that position important hazards to social lives, structure, and the atmosphere. Early detection and monitoring of landslide- prone areas are essential to mitigate these risks. This paper presents a Landslide Finding and Observing System (LFOS) using Wireless Sensor Networks (WSNs) and the Zigbee communication protocol. The proposed system leverages a grid arrayed with sensor nodes of landslide- prone areas to monitor conservational factors such as earth moistness, earth heaviness, vibration, hotness, and tilt— key indicators of potential landslides. Each sensor node collects real-time data and wirelessly transmits it to a central Zigbee Coordinator, which aggregates the data for further analysis. The processed data is sent to a Base Station for real-time monitoring, where threshold-based alerts are generated in case of abnormal readings, and triggering timely notifications to relevant authorities. The system utilizes Zigbee's low-power, short-range mesh network to ensure reliable data transmission over large, remote areas, while minimizing energy consumption. Through the integration of sensor data and wireless communication, this system offers an efficient, cost- effective for landslide earlywarning and monitoring.

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Publication Details

Published
2025-04-29
DOI
https://doi.org/10.1109/aimla63829.2025.11040548
Primary Topic
Smart Agriculture and AI
Type
article
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Intellectual Zigbee Supported Wireless Sensor Network for Landslide Supervision System

T Dharanika, S Kishore, Shreeram Akilesh, M. Vignesh et al.
Smart Agriculture and AI
article

Intellectual Zigbee Supported Wireless Sensor Network for Landslide Supervision System

T Dharanika, S Kishore, Shreeram Akilesh, M. Vignesh, G Giritharan
article en

Abstract

The Landslides are catastrophic natural events that position important hazards to social lives, structure, and the atmosphere. Early detection and monitoring of landslide- prone areas are essential to mitigate these risks. This paper presents a Landslide Finding and Observing System (LFOS) using Wireless Sensor Networks (WSNs) and the Zigbee communication protocol. The proposed system leverages a grid arrayed with sensor nodes of landslide- prone areas to monitor conservational factors such as earth moistness, earth heaviness, vibration, hotness, and tilt— key indicators of potential landslides. Each sensor node collects real-time data and wirelessly transmits it to a central Zigbee Coordinator, which aggregates the data for further analysis. The processed data is sent to a Base Station for real-time monitoring, where threshold-based alerts are generated in case of abnormal readings, and triggering timely notifications to relevant authorities. The system utilizes Zigbee's low-power, short-range mesh network to ensure reliable data transmission over large, remote areas, while minimizing energy consumption. Through the integration of sensor data and wireless communication, this system offers an efficient, cost- effective for landslide earlywarning and monitoring.

Karpagam Academy of Higher Education (IN)
Climate action
Openalex Percentile: Top 89%
Smart Agriculture and AI
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