Location-aware event-driven query processing in sensor database management

  • Authors:
  • Jongheon Park;Taehun Kim;Chongsok Lim;Soon J. Hyun

  • Affiliations:
  • KAIST, Daejeon, South Korea;KAIST, Daejeon, South Korea;KAIST, Daejeon, South Korea;KAIST, Daejeon, South Korea

  • Venue:
  • Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
  • Year:
  • 2012

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Abstract

In the sensor database management, a query is disseminated from the base-station to the sensor nodes in a sensor network to collect various types of ambient data requested by applications. Sensor database systems typically support event-driven queries to be executed when some events are detected at some sensor nodes. In this paper, we propose a location-aware, event-driven query processing scheme using an in-network query processing algorithm as an extension to our previous work on Sensor Network Query Language (SNQL). The proposed scheme provides a couple of location-aware expressions for selective dissemination and in-network propagation of a query. We also propose a spatial metadata management scheme by using Quadtree. Our evaluation shows that energy consumption of our event-driven query processing is reduced by 45% and response time is faster by up to 50% compared to the existing systems.