Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Consistency challenges of service discovery in mobile ad hoc networks
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Service-oriented sensor-actuator networks: Promises, challenges, and the road ahead
Computer Communications
Tiny web services: design and implementation of interoperable and evolvable sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Supporting reconfiguration and re-use through self-describing component interfaces
Proceedings of the 5th International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks
IEEE Transactions on Services Computing
Building Wireless Sensor Network Applications with LooCI
International Journal of Mobile Computing and Multimedia Communications
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Adequate service discovery is required to support dynamic composition as offered by recent light-weight service platforms for wireless sensor and actuator networks (WSANs). To provide flexible and precise service discovery in such dynamic environments, the operational context of services should be taken into account. This context can be inferred by reusing the information collected by the sensor nodes' environmental and resource monitoring services. In order to be usable, a light-weight abstraction of the contextual parameters is required to provide standardized context descriptions. Furthermore, the service discovery process itself needs to be adapted to handle the flexibility of this approach. In this paper, we present a service discovery mechanism that supports the expression of contextual constraints through the concepts of attributes and dictionaries. We report on the operation of such a service discovery solution and show its feasibility in a proof-of-concept implementation on SunSPOT. In this implementation, we integrate service and route discovery into a single process hereby reducing the required network overhead.