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
Multi-dimensional range queries in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
AODV Routing Protocol Implementation Design
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
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
Routing-Aware Query Optimization for Conserving Energy in Wireless Sensor Networks
WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
Energy-efficient query management scheme for a wireless sensor database system
EURASIP Journal on Wireless Communications and Networking - Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks
Personal and Ubiquitous Computing
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In most wireless sensor networks, applications submit their requests as queries and wireless sensor network transmits the requested data to the applications. However, most existing work in this area focuses on data aggregation, not much attention has been paid to query aggregation. For many applications, especially ones with high query rates, query aggregation is very important. In this paper, we design an effective query aggregation algorithm SAQA to reduce the number of duplicate/overlapping queries and save overall energy consumption in the wireless sensor networks. This new aggregation algorithm focuses on the duplicate/overlapping spatial and attribute information in the original queries submitted by the applications. Our performance evaluations show that by applying our query aggregation algorithm, the overall energy consumption can be significantly reduced and the sensor network lifetime can be prolonged correspondingly