Service-oriented device communications using the devices profile for web services
MPAC '05 Proceedings of the 3rd international workshop on Middleware for pervasive and ad-hoc computing
Platform-based design of wireless sensor networks for industrial applications
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Open source software for disaster management
Communications of the ACM - Emergency response information systems: emerging trends and technologies
Service-Oriented Architectures for Embedded Systems Using Devices Profile for Web Services
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 01
Service oriented architecture for heterogeneous and dynamic sensor networks
Proceedings of the second international conference on Distributed event-based systems
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Over the last years Wireless Sensor Networks (WSN) have been becoming increasingly applicable for real world scenarios and now production ready solutions are available. In the same period the upcoming combination of Service-oriented Architectures and Web Service technology demonstrated a way to realize open standardized, flexible, service component based, loosely coupled and interoperable cross domain enterprise software solutions. But those solutions have been too resource-intensive and complex to be applicable for limited devices like wireless sensor nodes or small-sized embedded systems. Thus, more and more research investigations have been launched to bring the aspect of cross domain interoperability to the field of embedded battery powered devices. The proposed laboratory assistance solution in this paper demonstrates the benefits of Web Service enabled WSNs for process monitoring and disaster management by extending an existing system in the Life Science Automation domain. Especially, the capability to provide location based services in industrial automation environment represents a beneficial feature of the presented integration approach and results in high-quality information delivery bundled with specific data about the locational origin of the capturing sensor.