Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
TAG: a Tiny AGgregation service for ad-hoc sensor networks
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
AODV Routing Protocol Implementation Design
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Networking support for query processing in sensor networks
Communications of the ACM - Wireless sensor networks
A framework for spatio-temporal query processing over wireless sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
An Analysis of Spatio-Temporal Query Processing in Sensor Networks
ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
Effective query aggregation for data services in sensor networks
Computer Communications
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Beyond average: toward sophisticated sensing with queries
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
SAQA: spatial and attribute based query aggregation in wireless sensor networks
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
Multi-query optimization for sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
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Processing multiple real-time queries on a multi-hop wireless sensor network while conserving energy is a challenging issue. A naive approach would simply disseminate each query individually, even if the queries contain overlapping information. This imposes excessive energy consumption on sensor nodes in the data paths. We propose a routing-aware query optimization method to conserve energy on these nodes. In particular, we devise an algorithm to reduce query redundancy based on location information, attributes, and time constraints contained in the queries and the routing information of the underlying network. Our simulation results show that our approach can significantly reduce energy consumptions and improve the overall performance of the network.