KPT: A dynamic KNN query processing algorithm for location-aware sensor networks

Julian Winter, Wang-chien Lee

Research output: Contribution to conferencePaper

22 Scopus citations

Abstract

An important type of spatial queries for sensor networks are K Nearest Neighbor (KNN) queries. Currently, research proposals for KNN query processing is based on index structures, which are typically expensive in terms of energy consumption. In addition, they are vulnerable to node failure and are difficult to maintain in dynamic sensor networks. In this paper, we propose KPT, an algorithm for dynamically processing KNN queries in location-aware sensor networks. KPT shows great potential for energy savings and improved query latency. Since the tree infrastructure is constructed only temporarily, KPT is less vulnerable to sensor node failure.

Original languageEnglish (US)
Pages119-124
Number of pages6
DOIs
Publication statusPublished - Dec 1 2004
Event1st International Workshop on Data Management for Sensor Networks, DMSN '04, in Conjunction with VLDB 2004 - Toronto, ON, Canada
Duration: Aug 30 2004Aug 30 2004

Other

Other1st International Workshop on Data Management for Sensor Networks, DMSN '04, in Conjunction with VLDB 2004
CountryCanada
CityToronto, ON
Period8/30/048/30/04

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All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Winter, J., & Lee, W. (2004). KPT: A dynamic KNN query processing algorithm for location-aware sensor networks. 119-124. Paper presented at 1st International Workshop on Data Management for Sensor Networks, DMSN '04, in Conjunction with VLDB 2004, Toronto, ON, Canada. https://doi.org/10.1145/1052199.1052219