Using mobile wireless sensors for in-situ tracking of debris flows

Lee, Huang-Chen; Liu, Chin-Jung; Yang, Jui‐Chung; Huang, Joseph Jen‐Tse; Fang, Yao-Min; Lee, Bing-Jean; King, Chung-Ta

doi:10.1145/1460412.1460476

Cited by 15 publications

(7 citation statements)

References 2 publications

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“…The idea of using mobile wireless sensors moved by the flow to detect debris flows, was first proposed in [4] and developed in [5]. It introduced a debris flow monitoring system for in-situ and direct tracking of debris flows in real-time, by throwing wireless sensor nodes into the debris flows and collecting information from the flow in real time as they move along.…”

Section: Related Workmentioning

confidence: 99%

“…The approach proposed in this paper is different from [4] and [5] because the data analysis and generation of the alarm is done within the network in a distributed manner. As a result, the network does not have a need for base stations or external communication infrastructure; which enables fast and inexpensive deployment of a detection system in a specific endangered zone.…”

Section: Related Workmentioning

confidence: 99%

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Distributed detection of debris flows on a wireless sensor network

Vargas-Fallas

Torres-Rojas

2014

3rd IEEE International Work-Conference on Bioinspired Intelligence

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Debris flows are very destructive phenomena that cause damage to population living near rivers. Current warning systems for these phenomena are based on fixed instrumentation located at certain points through the river or indirectly, through remote measurements; as a result, the information they provide is limited, as it lacks real-time and precise data about the event location and its speed. In this paper, we introduce a set of algorithms and protocols for debris flows detection in rivers, using a wireless sensor network. The proposed detection protocol is distributed and decentralized, as it does not rely on a central coordinator to decide on the presence of the event. The proposed algorithms and protocols were evaluated on a simulator, in order to evaluate its performance. Results show that the algorithms are capable of detecting the phenomenon and alert people in the danger area with enough anticipation to prevent a tragedy.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Distributed detection of debris flows on a wireless sensor network

Vargas-Fallas

Torres-Rojas

2014

3rd IEEE International Work-Conference on Bioinspired Intelligence

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“…Similarly, Bluetooth and wireless technologies enable mobile users to enjoy proximity services [Tang 2009;Rashid et al 2005] in a wide range of scenarios. Moreover, further mainstream applications for the I1 category consist in environmental monitoring through Wireless Sensor Networks (WSNs), from indoor to outdoor, from urban setting to rural and hostile ones [Werner-Allen et al 2006;Lee et al 2008].…”

Section: Information Dimensionmentioning

confidence: 99%

Pervasive social context

Schuster

Rosi²,

Mamei³

et al. 2013

ACM Trans. Intell. Syst. Technol.

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As pervasive computing meets social networks, there is a fast growing research field called pervasive social computing. Applications in this area exploit the richness of information arising out of people using sensorequipped pervasive devices in their everyday life combined with intense use of different social networking services. We call this set of information pervasive social context. We provide a taxonomy to classify pervasive social context along the dimensions space, time, people, and information source (STiPI) as well as commenting on the type and reason for creating such context. A survey of recent research shows the applicability and usefulness of the taxonomy in classifying and assessing applications and systems in the area of pervasive social computing. Finally, we present some research challenges in this area and illustrate how they affect the systems being surveyed.

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“…La idea de utilizar sensores móviles arrastrados por la corriente para detectar este tipo de eventos fue propuesta y desarrollada por Lee et al (2008Lee et al ( , 2009aLee et al ( ,b, 2010, quienes plantean colocar un conjunto de dispositivos sensores denominados Insider en el lecho del río para que sean arrastrados por la corriente en caso de un debris flows. Estos dispositivos miden parámetros internos del evento y transmiten la información a dispositivos receptores ubicados en la margen del río, denominados Coordinator, los cuales se encargan de reenviarla al centro de recolección de datos.…”

Section: Antecedentesunclassified

“…Tanto Lee et al (2008) como Zostrich Geotechnical (2003 proponen esquemas centralizados, en los cuales los datos recabados por cada nodo sensor en última instancia llegarán a un ente central que tiene pleno conocimiento de lo que sucede en el sistema y es el encargado de determinar el estado del mismo y decidir si se declara una alarma.…”

Section: Antecedentesunclassified

Una arquitectura y mapa de ruta para un método de detección de debris flows y fenómenos similares en ríos, mediante una red de sensores inalámbricos

Vargas-Fallas¹,

Torres-Rojas²

2013

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<p style="text-align: justify;">Los<em> debris flows </em>y flujos hiperconcentrados, conocidos popularmente como cabezas de agua, aluviones o avenidas de lodo, son fenómenos muy destructivos que afectan a poblaciones ubicadas en márgenes de ríos. Los sistemas utilizados para detectar este tipo de eventos se basan en instrumentación fija en puntos determinados del río o a través de mediciones remotas e indirectas, por lo cual los datos que suministran son limitados: no brindan información en tiempo real sobre la posición o velocidad del evento más allá de los puntos de monitoreo. En este artículo se propone una arquitectura para la detección de debris flows y flujos hiperconcentrados en cuencas de ríos, por medio de una red inalámbrica de sensores móviles. La arquitectura propuesta es distribuida y descentralizada, pues no depende de un ente coordinador central para decidir sobre la presencia o ausencia del fenómeno. También se plantea un mapa de ruta de los problemas que deben superarse, con el fin de hacer posible la implementación de esta arquitectura en un sistema de detección concreto para los ríos.</p>

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Using mobile wireless sensors for in-situ tracking of debris flows

Cited by 15 publications

References 2 publications

Distributed detection of debris flows on a wireless sensor network

Distributed detection of debris flows on a wireless sensor network

Pervasive social context

Una arquitectura y mapa de ruta para un método de detección de debris flows y fenómenos similares en ríos, mediante una red de sensores inalámbricos

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