Integration of IEEE 1451 smart transducers and OGC-SWE using STWS

As sensor network deployments grow and mature there emerge a common set of operations and transformations. These can be grouped into a conceptual framework called Sensor Web. Sensor Web combines cyber infrastructure with a Service Oriented Architecture (SOA) and sensor networks to provide access to heterogeneous sensor resources in a deployment independent manner. In this chapter we present the Open Sensor Web Architecture (OSWA), a platform independent middleware for developing sensor applications. OSWA is built upon a uniform set of operations and standard data representations as defined in the Sensor Web Enablement Method (SWE) by the Open Geospatial Consortium (OGC). OSWA uses open source and grid technologies to meet the challenging needs of collecting and analyzing observational data and making it accessible for aggregation, archiving and decision making.

13th AGILE International …, 2010

2006

As sensor network deployments begin to grow there emerges an increasing need to overcome the obstacles of connecting and sharing heterogeneous sensor resources. Common data operations and transformations exist in deployment scenarios and can be encapsulated into a layer of software services that hide the complexity of the underlying infrastructure from the application developer. NICTA Open Sensor Web Architecture (NOSA) is built upon the Sensor Web Enablement (SWE) standard defined by the Open Geospatial Consortium (OGC), which is composed of a set of specifications, including SensorML, Observation & Measurement, Sensor Collection Service, Sensor Planning Service and Web Notification Service. NOSA presents a reusable, scalable, extensible, and interoperable service oriented Sensor Web architecture that (i) conforms to the SWE standard; (ii) integrates Sensor Web with Grid Computing and (in) provides middleware support for Sensor Webs.

Sensors, 2011

Many sensor networks have been deployed to monitor Earth's environment, and more will follow in the future. Environmental sensors have improved continuously by becoming smaller, cheaper, and more intelligent. Due to the large number of sensor manufacturers and differing accompanying protocols, integrating diverse sensors into observation systems is not straightforward. A coherent infrastructure is needed to treat sensors in an interoperable, platform-independent and uniform way. The concept of the Sensor Web reflects such a kind of infrastructure for sharing, finding, and accessing sensors and their data across different applications. It hides the heterogeneous sensor hardware and communication protocols from the applications built on top of it. The Sensor Web Enablement initiative of the Open Geospatial Consortium standardizes web service interfaces and data encodings which can be used as building blocks for a Sensor Web. This article illustrates and analyzes the recent developments of the new generation of the Sensor Web Enablement specification framework. Further, we relate the Sensor Web to other

… Conference, 2000. IMTC 2000. Proceedings of the …, 2000

The IEEE (Institute of Electrical and Electronics Engineers) 1451 smart transducer interface standards provide the common interface and enabling technology for the connectivity of transducers to microprocessors, control and field networks, and data acquisition and instrumentation systems. The standardized Transducer electronic Data Sheet (TEDS) specified by IEEE 1451.2 allows the self-description of sensors and the interfaces provide a standardized mechanism to facilitate the "plug and play" of sensors to networks. The network-independent smart transducer object model defined by IEEE 1451.1 allows sensor manufacturers to support multiple networks and protocols. Thus, transducer-to-network interoperability is on the horizon.

Proceedings of the NASA Science Technology …

, in response to a NASA Announcement of Research Opportunity on the topic of sensor webs. The key goal of this research is to prototype an interoperable sensor architecture that will enable interoperability between a heterogeneous set of space-based, Unmanned Aerial System (UAS)-based and ground based sensors. Among the key capabilities being pursued is the ability to automatically discover and task the sensors via the Internet and to automatically discover and assemble the necessary science processing algorithms into workflows in order to transform the sensor data into valuable science products. Our first set of sensor web demonstrations will prototype science products useful in managing wildfires and will use such assets as the Earth Observing 1 spacecraft, managed out of NASAIGSFC, a UASbased instrument, managed out of Ames and some automated ground weather stations, managed by the Forest Service. Also, we are collaborating with some of the other ESTO awardees to expand this demonstration and create synergy between our research efforts. Finally, we are making use of Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) suite of standards and some Web 2.0 capabilities to Beverage emerging technologies and standards.

ifgi.uni-muenster.de

In recent years, the standards of OGC's Sensor Web Enablement (SWE) initiative have been applied in a multitude of projects to encapsulate heterogeneous geosensors for web-based discovery, tasking and access. Currently, SWE services and the different types of geosensors are integrated manually due to a conceptual gap between these two layers. Pair-wise adapters are created to connect an implementation of a particular SWE service with a particular type of geosensor. This approach is contrary to the aim of reaching interoperability and leads to an extensive integration effort in large scale systems with various types of geosensors and various SWE service implementations.

The Sensor Web Enablement (SWE) architecture of the Open Geospatial Consortium (OGC) has reached a broad acceptance. However, although the core specifications reached a mature state, the integration of a cataloguing service for sensors has not yet been achieved. Previous work focused on registries that address the specifics of dynamic sensor networks, on mechanisms for handling the semantics of phenomena and on metadata models based on the Sensor Model Language (SensorML). This work describes how existing elements supporting sensor discovery can be coupled with the already well established OGC Catalogue Service (CSW). The approach presented in this work relies on a SensorML profile specifying metadata necessary and sufficient for sensor discovery. SensorML documents that conform to the profile are automatically harvested from SWE services by a lower level registry and are subsequently transformed into an information model supported by the CSW. Finally the metadata is pushed into CSW instances and becomes available through the CSW interface. In summary, this work presents for the first time a working example how resources provided through SWE services can automatically be published through common OGC Catalogue Service instances. We expect that the presented approach is an important step in order to achieve a full integration of SWE components into spatial data infrastructures and to offer SWE services to a broader audience.

2013

inspiration. I would also like to give many thanks to mom & dad (Iva & Melvin Greene) for supporting my efforts to pursue education and strengthening my drive along the way. To my beautiful wife and lovely daughter, Christa & LeiLani, thank you for all the support and the extra push that I needed. v Table of Contents List of Figures .

11th AGILE International …, 2008

The Sensor Observation Service (SOS) of the Open Geospatial Consortium (OGC) defines a web service to distribute sensor data. During the utilization of the SOS in different mobile sensor use cases of the OSIRIS project deficits of the specification were identified. For example, the SOS specification lacks the ability to update information about deployed mobile sensors (e.g. position or status) dynamically. This work presents the concept of an interoperable web service interface (SOSmobile) allowing the exchange of mobile sensor data. The requirement for such a service arises due to the fast growing number of applications which incorporate mobile sensors. To enable the integration of data collected by mobile sensors into multiple applications the use of an appropriate interoperable encoding as well as a well-defined interface to access the data is essential. After introducing the SOS and the related data models the deficits are being described and the new SOSmobile interface based upon the OGC SOS specification is defined.