Using sensor web protocols for environmental data acquisition and management

Conover, H.; Berthiau, Gregoire; Botts, Mike; Goodman, H. Michael; Li, Xiang; Lu, Yue; Maskey, Manil; Regner, K.; Zavodsky, Bradley

doi:10.1016/j.ecoinf.2009.08.009

Cited by 33 publications

(16 citation statements)

References 6 publications

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“…Several aspects of the sensor networks, such as communication within the networks and optimization (energy, coverage area), are the lowest levels of studies performed related to sensor web. A few of such studies which are specific to the wireless sensor networks (WSN) include the intranetwork communication optimization as described in [8], optimization of coverage range for the sensor networks [3,4], and intranetwork sensor localization as reported by [9]. Similarly, studies of routing protocols in WSNs have been reported by [10].…”

Section: Related Workmentioning

confidence: 99%

“…The sensing nodes work together to collect information such as temperature, humidity, images, and light intensity. The accurate and reliable data collection of these sensor networks has enabled the research community to develop sensor networks based applications for environmental factor monitoring, context prediction, and early warning systems for floods, forest fires, earthquakes, and so forth [4,5].…”

Section: Introductionmentioning

confidence: 99%

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Enhanced Service-Oriented Open Sensor Web Architecture with Application Server Based Mashup

Khan

Kim

2014

International Journal of Distributed Sensor Networks

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Connecting the sensing devices present in the physical world to detect and measure various physical phenomenon such as temperature, humidity, and pollution into a network and presenting them as web resources to the end users have become the goal of a variety of research activities. As the physical network of these devices inherently possesses a heterogeneous nature thus most of the sensor web studies are based on providing domain specific solutions. Service-oriented architecture (SOA) has proven successes to resolve the scalability and evolvability of the web. The present solutions for the SOA based sensor web allows the users to access the sensor data as services but to integrate these services the client must put extra effort to implement the logic. We present an improved SOA based sensor web architecture which offers an easy approach to integrate sensor providers' services with information provider services and enable the users to access it as a single, integrated, and searchable service. This approach offers the functionality present in the existing solutions as well as an integrated data access or service mashup. We discuss in detail an instance architecture for indoor environment monitoring, based on the proposition of this study.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced Service-Oriented Open Sensor Web Architecture with Application Server Based Mashup

Khan

Kim

2014

International Journal of Distributed Sensor Networks

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“…Examples of application of the SWE standard along with a short description of services included in the specification may be found in [5]. Presented examples of practical implementations include: NASA-sponsored Land Information Sensor Web, The Sensors Anywhere (a European Commission project), or a German-Indonesian tsunami early warning system.…”

Section: Possibilities Of Practical Application Of the Sensorml Langumentioning

confidence: 99%

The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language

Rossa

Rogulski

2015

Foundations of Computing and Decision Sciences

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Abstract. Mobile and stationary sensors currently used to measure various environmental parameters, functioning independently or as part of monitoring networks and measurement stations, provide vast amounts of data on the state and quality of the environment on the Earth. If the data is to be used effectively, they must be exchanged and shared among IT systems. Systems which offer services of searching, exchange, sharing, visualisation and analysis of dispersed and varied data resources on the widely understood environment are, for example, spatial data infrastructures.The article presents an overview of IT technologies and standards which offer interoperability in spatial data infrastructures. It first defines interoperability and then describes the most important issues connected with spatial data infrastructures on the example of INSPIRE. An example standard which facilitates interoperability in INSPIRE is the SensorML language, a component of Sensor Web Enablement (SWE). Its practical application is proposed -for description of processes of air monitoring in a spatial data infrastructure that is an element of the Polish national environmental monitoring plan.

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“…The Sensor Web Enablement initiative of the Open Geospatial Consortium (Table S1; 18) provides the framework and standards to enable the interoperability of sensors and a complete environmental data management system (Rueda et al, 2009;Conover et al, 2010;Bröring et al, 2011).…”

Section: Sensorsmentioning

confidence: 99%

A Review of the Tools Used for Marine Monitoring in the UK: Combining Historic and Contemporary Methods with Modeling and Socioeconomics to Fulfill Legislative Needs and Scientific Ambitions

et al. 2017

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Marine environmental monitoring is undertaken to provide evidence that environmental management targets are being met. Moreover, monitoring also provides context to marine science and over the last century has allowed development of a critical scientific understanding of the marine environment and the impacts that humans are having on it. The seas around the UK are currently monitored by targeted, impact-driven, programmes (e.g., fishery or pollution based monitoring) often using traditional techniques, many of which have not changed significantly since the early 1900s. The advent of a new wave of automated technology, in combination with changing political and economic circumstances, means that there is currently a strong drive to move toward a more refined, efficient, and effective way of monitoring. We describe the policy and scientific rationale for monitoring our seas, alongside a comprehensive description of the types of equipment and methodology currently used and the technologies that are likely to be used in the future. We contextualize the way new technologies and methodologies may impact monitoring and discuss how whole ecosystems models can give an integrated, comprehensive approach to impact assessment. Furthermore, we discuss how an understanding of the value of each data point is crucial to assess the true costs and benefits to society of a marine monitoring programme.

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Using sensor web protocols for environmental data acquisition and management

Cited by 33 publications

References 6 publications

Enhanced Service-Oriented Open Sensor Web Architecture with Application Server Based Mashup

Enhanced Service-Oriented Open Sensor Web Architecture with Application Server Based Mashup

The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language

A Review of the Tools Used for Marine Monitoring in the UK: Combining Historic and Contemporary Methods with Modeling and Socioeconomics to Fulfill Legislative Needs and Scientific Ambitions

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