A Linked Neighboring Leaves N-Tree to Support Distance Range Search

A Linked Neighboring Leaves N-Tree to Support Distance Range Search

Faïza Najjar (National School of Comp. Science, Tunisia) and Hassenet Slimani (Faculty of Sciences, Tunisia)
DOI: 10.4018/jitwe.2009010103


Mobile query processing is, actually, a very active research field. Range and nearest neighbor queries are common types of queries in spatial databases and location based services (LBS). In this paper, we focus on finding nearest neighbors of a query point within a certain distance range. An example of query, frequently met in LBS, is “Find all the nearest gas stations within 2 miles neighborhood of his/her current location”. We propose two approaches for answering such queries. Both are based on a recent indexing technique called N-tree. The first one is a branch and bound approach, whereas the second, called ‘neighborhoods scanning’, is based on a variant of N-tree, Leaves-Linked N-tree (LLN-tree). LLN-tree is an index tree structure that avoids visiting multiple paths during range search. Both techniques are presented, illustrated and evaluated. Experiments show that the latter approach outperforms the former in response time and disk access as well.

Complete Article List

Search this Journal:
Open Access Articles: Forthcoming
Volume 16: 4 Issues (2021): Forthcoming, Available for Pre-Order
Volume 15: 4 Issues (2020): 3 Released, 1 Forthcoming
Volume 14: 4 Issues (2019)
Volume 13: 4 Issues (2018)
Volume 12: 4 Issues (2017)
Volume 11: 4 Issues (2016)
Volume 10: 4 Issues (2015)
Volume 9: 4 Issues (2014)
Volume 8: 4 Issues (2013)
Volume 7: 4 Issues (2012)
Volume 6: 4 Issues (2011)
Volume 5: 4 Issues (2010)
Volume 4: 4 Issues (2009)
Volume 3: 4 Issues (2008)
Volume 2: 4 Issues (2007)
Volume 1: 4 Issues (2006)
View Complete Journal Contents Listing