research-article

Monitoring Schumann resonance and other electromagnetic precursors of an earthquake with a virtual MIMO wireless sensor network

Authors:

Weidong Yi,

Lanbo LiuAuthors Info & Claims

ACWR '11: Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief

Pages 273 - 276

https://doi.org/10.1145/2185216.2185290

Published: 18 December 2011 Publication History

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Abstract

The frequency shift and amplitude change in Schumann resonance (SR) as a precursor of some moderate to strong earthquakes was observed and reported. Co-seismic SR variation could be occurring at even large magnitude and scale. In this study, we first model Schumann resonance associated with the occurrence of an earthquake and assess the SR variation recorded from an earth-based sensor network. Based on the computer simulation results, we then propose a wireless observation system to monitor SR as a potential precursor prior to an earthquake using a wireless sensor network (WSN). A WSN based on single antenna wireless sensor nodes are cooperated to establish a multiple-antenna WSN that is called virtual MIMO-WSN. Virtual MIMO-WSN is adjustable and tunable to monitor electromagnetic signals in different frequencies based on the number of the cooperative wireless sensor nodes. An electromagnetic map could then be generated by activating a virtual MIMO-WSN in specific direction by switching on/off certain sensor nodes based on their location (also known as beamforming). Cost effectiveness, system scalability, ease of deployment, adjustability in frequency tuning, and reliability in ELF/VLF direction-finding are the key design factors in virtual MIMO-WSN to overcome the bottlenecks in the existing techniques for ELF/VLF monitoring systems. Simulation results are used to evaluate these quality indices of the proposed virtual MIMO-WSN.

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Cited By

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Tatsis GVotis CChristofilakis VKostarakis PTritakis VRepapis C(2015)A prototype data acquisition and processing system for Schumann resonance measurementsJournal of Atmospheric and Solar-Terrestrial Physics10.1016/j.jastp.2015.11.001135(152-160)Online publication date: Dec-2015
https://doi.org/10.1016/j.jastp.2015.11.001

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Published In

ACWR '11: Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief

December 2011

517 pages

ISBN:9781450310116

DOI:10.1145/2185216

General Chairs:
Rajagopala Chidambaram
Government of India
,
P. Venkat Rangan
Amrita University
,
Satish K. Tripathi
SUNY Buffalo
,
Prasant Mohapatra
UC Davis
,
Program Chairs:
Maneesha V. Ramesh
Amrita University
,
Maarten van Steen
Extreme Distributed Systems, VU, Amsterdam

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New York, NY, United States

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Published: 18 December 2011

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ACWR '11: International Conference on Wireless Technologies for Humantiarian Relief ( ACWR 2011 )

December 18 - 21, 2011

Kollam, Kerala, Amritapuri, India

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Tatsis GVotis CChristofilakis VKostarakis PTritakis VRepapis C(2015)A prototype data acquisition and processing system for Schumann resonance measurementsJournal of Atmospheric and Solar-Terrestrial Physics10.1016/j.jastp.2015.11.001135(152-160)Online publication date: Dec-2015
https://doi.org/10.1016/j.jastp.2015.11.001

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Underwater wireless sensor network communication using electromagnetic waves at resonance frequency 2.4 GHz

Fast Convergence Algorithm for Earthquake Prediction Using SLF/ELF Horizontal Electric Dipole during Day and Night and Schumann Resonance

Node Placement Strategy in Wireless Sensor Network

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