Continuous monitoring of distance-based range queries

Muhammad Aamir Cheema, Ljiljana Brankovic, Xuemin Lin, Wenjie Zhang, Wei Wang

Research output: Contribution to journalJournal Articlepeer-review

58 Citations (Scopus)

Abstract

Given a positive value r, a distance-based range query returns the objects that lie within the distance r of the query location. In this paper, we focus on the distance-based range queries that continuously change their locations in a euclidean space. We present an efficient and effective monitoring technique based on the concept of a safe zone. The safe zone of a query is the area with a property that while the query remains inside it, the results of the query remain unchanged. Hence, the query does not need to be reevaluated unless it leaves the safe zone. Our contributions are as follows: 1) We propose a technique based on powerful pruning rules and a unique access order which efficiently computes the safe zone and minimizes the I/O cost. 2) We theoretically determine and experimentally verify the expected distance a query moves before leaving the safe zone and, for majority of queries, the expected number of guard objects. 3) Our experiments demonstrate that the proposed approach is close to optimal and is an order of magnitude faster than a nave algorithm. 4) We also extend our technique to monitor the queries in a road network. Our algorithm is up to two order of magnitude faster than a nave algorithm.

Original languageEnglish
Article number5669315
Pages (from-to)1182-1199
Number of pages18
JournalIEEE Transactions on Knowledge and Data Engineering
Volume23
Issue number8
DOIs
Publication statusPublished - 2011
Externally publishedYes

Keywords

  • Query processing
  • Road network.
  • continuous queries
  • range queries
  • spatial data

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