Continuous aggregate nearest neighbor queries
Abstract
This paper addresses the problem of continuous aggregate nearest-neighbor (CANN) queries for moving objects in spatio-temporal data stream management systems. A CANN query specifies a set of landmarks, an integer k, and an aggregate distance function f (e.g., min, max, or sum), where f computes the aggregate distance between a moving object and each of the landmarks. The answer to this continuous query is the set of k moving objects that have the smallest aggregate distance f. A CANN query may also be viewed as a combined set of nearest neighbor queries. We introduce several algorithms to continuously and incrementally answer CANN queries. Extensive experimentation shows that the proposed operators outperform the state-of-the-art algorithms by up to a factor of 3 and incur low memory overhead.
Keywords
continuous query, spatio temporal query, aggregate nearest neighbor
Date of this Version
1-2013
DOI
10.1007/s10707-011-0149-0
Comments
Geoinformatica, Jan. 2013, Vol. 17, Issue 1, pp 63-95