Research challenges in environmental observation and forecasting systems
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Research challenges in wireless networks of biomedical sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Building a Bridge for Heterogeneous Sensor Networks
SEUS-WCCIA '06 Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)
Middleware: Middleware Challenges and Approaches for Wireless Sensor Networks
IEEE Distributed Systems Online
A survey of middleware for sensor networks: state-of-the-art and future directions
Proceedings of the international workshop on Middleware for sensor networks
IrisNet: An Architecture for a Worldwide Sensor Web
IEEE Pervasive Computing
Wireless mesh networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Middleware to support sensor network applications
IEEE Network: The Magazine of Global Internetworking
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Sensor networks have become a highly active research area due to their potential for providing diverse new capabilities for a wide variety of real world applications. Distributed applications require to collect information from a lot of different sensor systems, retrieved data are usually heterogeneous from many points of view and they need to be integrated to share a common objective. In this paper we present the SeNsIM framework, a scalable software architecture for the integration of heterogeneous sensor systems. SeNsIM enables the deployment of applications based on multiple sensor systems by providing a standard way to manage, query, and interact with sensors. We propose the architectural and data model of the SeNsIM framework and provide a method to describe sensor systems using XML as modeling language in order to facilitate sharing of structured data across them.