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A Cluster-Based Top-k Query Processing Algorithm in Wireless Sensor Networks  

Yeo, Myung-Ho (충북대학교 정보통신공학과)
Seong, Dong-Ook (충북대학교 정보통신공학과)
Yoo, Jae-Soo (충북대학교 정보통신공학과)
Publication Information
Journal of KIISE:Databases / v.36, no.4, 2009 , pp. 306-313 More about this Journal
Abstract
Top-k queries are issued to find out the highest (or lowest) readings in many sensor applications. Many top-k query processing algorithms are proposed to reduce energy consumption; FILA installs a filter at each sensor node and suppress unnecessary sensor updates; PRIM allots priorities to sensor nodes and collects the minimal number of sensor reading according to the priorities. However, if many sensor reading converge into the same range of sensor values, it leads to a problem that many false positives are occurred. In this paper, we propose a cluster-based approach to reduce them effectively. Our proposed algorithm operates in two phases: top-k query processing in the cluster level and top-k query processing in the tree level. False positives are effectively filtered out in each level. Performance evaluations show that our proposed algorithm reduces about 70% false positives and achieves about 105% better performance than the existing top-k algorithms in terms of the network lifetime.
Keywords
Wireless sensor networks; clustering; top-k query processing;
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