Towards Sensor Database Systems
MDM '01 Proceedings of the Second International Conference on Mobile Data Management
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Energy-Aware Target Localization in Wireless Sensor Networks
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
A MAC Protocol to Reduce Sensor Network Energy Consumption Using a Wakeup Radio
IEEE Transactions on Mobile Computing
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Guest Editors' Introduction: Sensor-Network Applications
IEEE Internet Computing
An Analysis of Spatio-Temporal Query Processing in Sensor Networks
ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
Energy-scalable algorithms and protocols for wireless microsensor networks
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
Query Processing in Sensor Networks
IEEE Pervasive Computing
Multi-query optimization for sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
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Sensor networks have recently attracted significant attention for many military and civil applications, such as environment monitoring, target tracking, and surveillance. A high-level abstraction of sensor networks forms the distributed database view, in which query is adopted to retrieve data from the network. Sensor nodes have limited energy resources and their functionality continues until their energy drains. Therefore, query for sensor networks should be wisely designed to extend the lifetime of sensors. This paper presents a query optimization method based on user-specified accuracy item for wireless sensor networks. When issuing a query, user may specify a value/time accuracy constraint according to which an optimized query plan can be created to minimize the energy consumption. At each single sensor node, instead of direct delivery of each reading, algorithms are proposed to reduce both data sensing and data transmission. The performance of the proposed algorithms shows that the proposed methods can achieve better performance than without performing the optimization.