Wireless integrated network sensors
Communications of the ACM
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
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Skyline Queries Against Mobile Lightweight Devices in MANETs
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Approaching the skyline in Z order
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Skyframe: a framework for skyline query processing in peer-to-peer systems
The VLDB Journal — The International Journal on Very Large Data Bases
Continuously maintaining sliding window skylines in a sensor network
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Top-k query evaluation in sensor networks with the guaranteed accuracy of query results
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Energy-efficient skyline query optimization in wireless sensor networks
Wireless Networks
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Skyline query has been received much attention due to its wide application backgrounds for multi-preference and decision making. In this paper we consider skyline query evaluation and maintenance in wireless sensor networks. We devise an evaluation algorithm for finding skyline points progressively and a maintenance algorithm for skyline maintenance incrementally. We also conduct extensive experiments by simulations to evaluate the performance of the proposed algorithms on various datasets. The experimental results show that the proposed algorithms significantly outperform existing algorithms in terms of network lifetime prolongation.