Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
An evaluation of multi-resolution storage for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Opportunistic Aggregation over Duty Cycled Communications in Wireless Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Information Networking. Towards Ubiquitous Networking and Services
Declarative resource naming for macroprogramming wireless networks of embedded systems
ALGOSENSORS'06 Proceedings of the Second international conference on Algorithmic Aspects of Wireless Sensor Networks
Cluster recovery for fault tolerance of spatial database cluster in sensor networks
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
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In the next decade, networks of devices will be widely deployed for measurement, detection and surveillance applications. Millions of sensors and small-scale mobile devices will integrate processors, memory and communication capabilities. Large collections of devices need to be controlled and accessed in an ad-hoc manner. This paper shows that database technology can be adapted to meet the challenges of this new computing environment. In our new concept of a device database system, individual devices are modeled as database objects, which allows us to access collections of devices with declarative queries. We present a semantics for queries over device database systems and novel query processing techniques for evaluating such queries. We describe our implementation of these techniques in the Cornell COUGAR system and present a experimental evaluation that illustrates the performance characteristics of query processing in a device database system.