Deploying a wireless sensor network on an active volcano

Werner-Allen, G.; Lorincz, Konrad; Ruiz, Mario; Marcillo, Omar; Johnson, Jeff; Lees, Jonathan M.; Welsh, Matt

doi:10.1109/mic.2006.26

Cited by 971 publications

(489 citation statements)

References 7 publications

(4 reference statements)

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“…Whilst in an ideal situation all data could be stored for later analysis, limitations of the deployment environment mean that this is not possible. This project uses techniques adapted from those used to monitor seismic activity around volcanoes [6]. This approach continually monitors the sensors and only when 'interesting' data is detected it is stored into memory, otherwise the unimportant data is discarded.…”

Section: Related Workmentioning

confidence: 99%

A wireless sensor network system deployment for detecting stick slip motion in glaciers

Martinez

Basford

Jäger

et al. 2012

IET Conference on Wireless Sensor Systems (WSS 2012)

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The behaviour of glaciers is an area in which only limited research has been carried out due to the difficulties of monitoring sub-glacial movements. The authors believe that this can be addressed by the deployment of a wireless sensor network, consisting of heterogeneous sensors to instrument this activity. By deploying a sensor network measurements can be taken for a longer period than would otherwise be possible. The initial designs for this sensor network are presented along with details of some of the challenges posed by the project.

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Section: Related Workmentioning

confidence: 99%

A wireless sensor network system deployment for detecting stick slip motion in glaciers

Martinez

Basford

Jäger

et al. 2012

IET Conference on Wireless Sensor Systems (WSS 2012)

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“…Although very many papers have been written about wireless sensor networks, experience papers reporting on real-world deployments are a minority: they include at least Mainwaring et al [19] who monitor seabirds' nesting environment and behaviour, Arora et al [1] who deploy a perimeter control WSN and Werner-Allen et al [23] who monitor an active volcano. Closer to our scenario are Krishnamurthy et al [16] who monitor equipment for early signs of failure and especially Kim et al [14] who monitor the structural health of the Golden Gate bridge.…”

Section: Related Workmentioning

confidence: 99%

Smart bridges, smart tunnels: Transforming wireless sensor networks from research prototypes into robust engineering infrastructure

et al. 2010

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We instrumented large civil engineering infrastructure items, such as bridges and tunnels, with sensors that monitor their operational performance and deterioration. In so doing we discovered that commercial o erings of Wireless Sensor Networks (WSNs) are still geared towards research prototypes and are currently not yet mature for deployment in practical scenarios.We distill the experience gained during this three-year interdisciplinary project into speci c advice for researchers and developers. We discuss problems and solutions in a variety of areas including sensor hardware, radio propagation, node deployment, system security and data visualization. We also point out the problems that are still open and that the community needs to address to enable widespread adoption of WSNs outside the research lab. IntroductionLarge civil engineering infrastructure items such as bridges, highways, tunnels and water pipes are expected to last for decades or even centuries. Over the course of their lifetimes, these structures deteriorate and require timely maintenance in order to prevent further degradation that might lead to accidents, the need for replacement or, in the worst case, collapse. Traditionally, early detection of such deterioration is achieved by visual inspection, either during routine maintenance visits or when a maintenance team is sent to the site to investigate a known or suspected problem. But such inspections are time-consuming and costly and therefore infrequent. An alternative is to equip infrastructure with sensors that are permanently wired up to report back to a central system; but this solution is not adopted very extensively because of the di culty and cost of running data and power cables to each individual sensor in challenging environments such as a subway tunnel or a long suspension bridge.The purpose of our research project, which at the time of writing has been running for almost three years, is to develop a system for continuous monitoring of such infrastructure using wireless sensor networks which, compared to wired systems, are easier and cheaper to deploy and also o er the opportunity for straightforward expansion.How nice it would be if we could just go out and buy a commercial o the shelf (COTS) wireless sensor network (WSN) system and use it for monitoring our structures straight away. Unfortunately, though, the available commercial systems are typically only kits of building blocks and a non-trivial integration e ort is required, together with the development of any missing parts, before arriving at a complete and usable monitoring solution.This experience paper identi es some of the challenges and issues encountered when installing wireless sensor networks in the eld, with speci c but not exclusive reference to civil engineering deployments, and discusses how these challenges can be addressed. Inspired by the format of the instructive and well-presented paper by Barrenetxea et al. [2], which content-wise is largely complementary to ours, we share our experience in the form o...

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“…By composing inexpensive, battery-powered, resource-constrained computation platforms equipped with short range radios, one can assemble networks of sensors targeted at a variety of tasks -e.g. monitoring air or water pollution [13], tracking movement of autonomous entities (automobiles [17], wild animals [19]), and attentiveness to potentially disastrous natural situations (magma flows indicative of imminent volcanic eruptions [20]). …”

Section: Wireless Sensor Networkmentioning

confidence: 99%

Towards Verifying Correctness of Wireless Sensor Network Applications Using Insense and Spin

Sharma

Lewis

Miller

et al. 2009

Model Checking Software

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Abstract. The design and implementation of wireless sensor network applications often require domain experts, who may lack expertise in software engineering, to produce resource-constrained, concurrent, real-time software without the support of high-level software engineering facilities. The Insense language aims to address this mismatch by allowing the complexities of synchronisation, memory management and event-driven programming to be borne by the language implementation rather than by the programmer. The main contribution of this paper is an initial step towards verifying the correctness of WSN applications with a focus on concurrency. We model part of the synchronisation mechanism of the Insense language implementation using Promela constructs and verify its correctness using SPIN. We demonstrate how a previously published version of the mechanism is shown to be incorrect by SPIN, and give complete verification results for the revised mechanism.

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Deploying a wireless sensor network on an active volcano

Cited by 971 publications

References 7 publications

A wireless sensor network system deployment for detecting stick slip motion in glaciers

A wireless sensor network system deployment for detecting stick slip motion in glaciers

Smart bridges, smart tunnels: Transforming wireless sensor networks from research prototypes into robust engineering infrastructure

Towards Verifying Correctness of Wireless Sensor Network Applications Using Insense and Spin

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