Towards ubiquitous database in mobile commerce
Proceedings of the 2nd ACM international workshop on Data engineering for wireless and mobile access
Towards Sensor Database Systems
MDM '01 Proceedings of the Second International Conference on Mobile Data Management
PSoup: a system for streaming queries over streaming data
The VLDB Journal — The International Journal on Very Large Data Bases
Networking issues in wireless sensor networks
Journal of Parallel and Distributed Computing
Tuning query performance in mobile sensor databases
Proceedings of the 6th international conference on Mobile data management
In-network surface simplification for sensor fields
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Streaming queries over streaming data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Complex query processing in wireless sensor networks
Proceedings of the 2nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Sensor Queries: Algebraic Optimization for Time and Energy
International Journal of Distributed Sensor Networks
QoS management for real-time DataBases in embedded systems
Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
Review: Real-time data management on wireless sensor networks: A survey
Journal of Network and Computer Applications
ICB-index: a new indexing technique for continuous time sequences
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
Simulation framework for real-time database on WSNs
Journal of Network and Computer 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. The Cornell COUGAR project studies how database technology can be adapted to meet the challenges of this new computing environment. In our novel concept of a device database system, physical devices are modeled as database objects. This permits large collections of devices to be controlled through declarative queries.