Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62033
Title: Continuous Monitoring of Distance-Based Range Queries
Contributor(s): Cheema, Muhammad Aamir (author); Brankovic, Ljiljana  (author)orcid ; Lin, Xuemin (author); Zhang, Wenjie (author); Wang, Wei (author)
Publication Date: 2011
DOI: 10.1109/TKDE.2010.246
Handle Link: https://hdl.handle.net/1959.11/62033
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 naïve 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 naïve algorithm.

Publication Type: Journal Article
Source of Publication: IEEE Transactions on Knowledge and Data Engineering, 23(8), p. 1182-1199
Publisher: Institute of Electrical and Electronics Engineers
Place of Publication: United States of America
ISSN: 1558-2191
1041-4347
Fields of Research (FoR) 2020: 460501 Data engineering and data science
461305 Data structures and algorithms
Socio-Economic Objective (SEO) 2020: 220499 Information systems, technologies and services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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