Supporting aggregate range queries on remote spatial databases suffers from 1) huge and/or large number of databases, and 2) limited type of access interfaces. This paper proposes Regular Polygon based Search Algorithm (RPSA) to overcome these difficulties. RPSA requests a series of k-NN queries to obtain approximate aggregate range query results. The query point of a subsequent k-NN query is chosen among vertices of a regular polygon inscribed in a before-searched circle. Experimental results on sum range query search show that Precision is over 0.99 for uniformly distributed dataset, over 0.97 for skew-distributed dataset, and over 0.97 for real dataset. Also, Number of Requests (NOR) ranges between 3.1 and 3.9, between 3.4 to 4.3, and between 2.7 and 3.7, respectively.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 firstname.lastname@example.org
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 email@example.com