A Sensor Network Architecture for Tsunami Detection and Response

Casey, Kenan; Lim, Alvin; Dozier, Gerry

doi:10.1080/15501320701774675

Cited by 62 publications

(30 citation statements)

References 12 publications

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“…Of course, in addition to the binary information (tsunami: yes or no), sea-level data supply further information, such as wave amplitude and arrival time at the sea-level station, and consequently allow one to understand the level of emergency and to react as needed. Therefore, tsunami detection in sea-level records and retrieval of tsunami data play or should play a key role in any TWS, ) is based on the initial condition by Höchner et al (2011). which is testified also by past and recent interest and studies (Mcgehee and McKinney, 1997;Mofjeld, 1997;Okal et al, 1999;Henson et al, 2006;;Shimizu et al, 2006;Farreras et al, 2007;Casey et al, 2008;Omira et al, 2009;Šepić et al, 2009;Falck et al, 2010;Stosius et al, 2010;Beltrami, 2011;Beltrami and Di Risio, 2011;Gurgel et al, 2011).…”

Section: Introductionmentioning

confidence: 86%

Detecting the 11 March 2011 Tohoku tsunami arrival on sea-level records in the Pacific Ocean: application and performance of the Tsunami Early Detection Algorithm (TEDA)

Bressan

Tinti

2012

Nat. Hazards Earth Syst. Sci.

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Abstract. Real-time detection of a tsunami on instrumental sea-level records is quite an important task for a Tsunami Warning System (TWS), and in case of alert conditions for an ongoing tsunami it is often performed by visual inspection in operational warning centres. In this paper we stress the importance of automatic detection algorithms and apply the TEDA (Tsunami Early Detection Algorithm) to identify tsunami arrivals of the 2011 Tohoku tsunami in a real-time virtual exercise. TEDA is designed to work at station level, that is on sea-level data of a single station, and was calibrated on data from the Adak island, Alaska, USA, tide-gauge station. Using the parameters' configuration devised for the Adak station, the TEDA has been applied to 123 coastal sealevel records from the coasts of the Pacific Ocean, which enabled us to evaluate the efficiency and sensitivity of the algorithm on a wide range of background conditions and of signal-to-noise ratios. The result is that TEDA is able to detect quickly the majority of the tsunami signals and therefore proves to have the potential for being a valid tool in the operational TWS practice.

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Section: Introductionmentioning

confidence: 86%

Detecting the 11 March 2011 Tohoku tsunami arrival on sea-level records in the Pacific Ocean: application and performance of the Tsunami Early Detection Algorithm (TEDA)

Bressan

Tinti

2012

Nat. Hazards Earth Syst. Sci.

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“…Casey et al [37] have proposed an efficient architecture for detecting tsunamis. The proposed sensor based architecture utilizes seismic pressure sensors to predict the tsunami underwater and relay sensed informed by directed diffusion routing protocol.…”

Section: Volcano Earthquake and Tsunamimentioning

confidence: 99%

Underwater Sensor Network Applications: A Comprehensive Survey

Felemban

Shaikh

Qureshi

et al. 2015

International Journal of Distributed Sensor Networks

331

190

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There is no escaping fact that a huge amount of unexploited resources lies underwater which covers almost 70% of the Earth. Yet, the aquatic world has mainly been unaffected by the recent advances in the area of wireless sensor networks (WSNs) and their pervasive penetration in modern day research and industrial development. The current pace of research in the area of underwater sensor networks (UWSNs) is slow due to the difficulties arising in transferring the state-of-the-art WSNs to their underwater equivalent. Maximum underwater deployments rely on acoustics for enabling communication combined with special sensors having the capacity to take on harsh environment of the oceans. However, sensing and subsequent transmission tend to vary as per different subsea environments; for example, deep sea exploration requires altogether a different approach for communication as compared to shallow water communication. This paper particularly focuses on comprehensively gathering most recent developments in UWSN applications and their deployments. We have classified the underwater applications into five main classes, namely, monitoring, disaster, military, navigation, and sports, to cover the large spectrum of UWSN. The applications are further divided into relevant subclasses. We have also shown the challenges and opportunities faced by recent deployments of UWSN.

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“…The authors propose a dynamic sensor selection (Tan et al 2013) algorithm to minimize incidents of false alarms and increase sensor detection rates. Designing a system that senses and responds to tsunamis has been the focus of Casey et al (2008). This work uses an ad hoc sensor network and route repair algorithm to detect and repair failures in data transmission.…”

Section: Early-warning: Earthquakes and Tsunamismentioning

confidence: 99%