Zigbee Based Real Time Earthquake Monitoring and Alert System Using IoT

This paper comprehensively describes the overall structure, hardware circuit, and software design of an advanced intelligent sensing monitoring technology tailored for earthquake monitoring. The system features an adaptive data collection strategy that effectively captures abnormal changes in earthquake monitoring parameters, offering an improved alternative for real-time disaster status data collection. This adaptive approach not only ensures high data accuracy, crucial for intelligent large-scale disaster monitoring and prediction, but also addresses the challenges of traditional monitoring schemes. The field tests demonstrate the proposed system's technical prowess, highlighting its low power consumption, selforganising network capabilities, stable and reliable communication, and long transmission distances facilitated by Zigbee technology. These features collectively render the system highly effective for earthquake monitoring in harsh environments, making it a reliable tool for disaster response and mitigation efforts.

Authors

Institutions

Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/icetea64585.2025.11099848
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Zigbee Based Real Time Earthquake Monitoring and Alert System Using IoT

M Kanimozhi., Goli Koti Veera Yogesh, Sanjay Saxena, Meager Pravin et al.
Seismology and Earthquake Studies
article

Zigbee Based Real Time Earthquake Monitoring and Alert System Using IoT

M Kanimozhi., Goli Koti Veera Yogesh, Sanjay Saxena, Meager Pravin, V Banumathy.
article en

Abstract

This paper comprehensively describes the overall structure, hardware circuit, and software design of an advanced intelligent sensing monitoring technology tailored for earthquake monitoring. The system features an adaptive data collection strategy that effectively captures abnormal changes in earthquake monitoring parameters, offering an improved alternative for real-time disaster status data collection. This adaptive approach not only ensures high data accuracy, crucial for intelligent large-scale disaster monitoring and prediction, but also addresses the challenges of traditional monitoring schemes. The field tests demonstrate the proposed system's technical prowess, highlighting its low power consumption, selforganising network capabilities, stable and reliable communication, and long transmission distances facilitated by Zigbee technology. These features collectively render the system highly effective for earthquake monitoring in harsh environments, making it a reliable tool for disaster response and mitigation efforts.

Karpagam Academy of Higher Education (IN)
Climate action
Openalex Percentile: Top 89%
Seismology and Earthquake Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.