Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
The Cougar Project: a work-in-progress report
ACM SIGMOD Record
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
The design and evaluation of a query processing architecture for sensor networks
The design and evaluation of a query processing architecture for sensor networks
Multi-query optimization for sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Energy-Efficient Evaluation of Multiple Skyline Queries over a Wireless Sensor Network
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Information storage, reduction and dissemination in sensor networks: a survey
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
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Currently much research work has been done to attempt to efficiently conserve the energy consumption for sensor networks, recently a database approach to programming sensor networks has gained much attention from the sensor network research area. In this paper we developed an optimized multi-query processing paradigm for aggregate queries, we proposed an equivalence class based merging algorithm for in-network merging of partial aggregate values of multi-queries, and an adaptive fusion degree based routing scheme as a cross-layer designing technique. Our optimized multi-query processing paradigm efficiently takes advantage of the work sharing mechanism by sharing common aggregate values among multiple queries to fully reduce the communication cost for sensor networks, thus extending the life time of sensor networks. The experimental evaluation shows that our optimization paradigm can efficiently result in dramatic energy savings, compared to previous work.