DocumentCode :
160621
Title :
Reverse Nearest Neighbour by Region on Mobile Devices
Author :
Adhinugraha, Kiki Maulana ; Taniar, D. ; Santiago, Maria Indrawan ; Latjuba, Dirda M. K.
Author_Institution :
Fac. of Inf. Technol., Monash Univ., Melbourne, VIC, Australia
fYear :
2014
fDate :
13-16 May 2014
Firstpage :
457
Lastpage :
464
Abstract :
Reverse Nearest Neighbour queries is known for the heavyweight algorithm that makes it difficult to be implemented in mobile devices due to high computations needed to verify the objects. Since the rapid development of mobile devices´ hardware and also the new lightweight approach in solving the Reverse Nearest Neighbour problem, this problem can be solved in mobile devices. In this paper, we implemented the Contact Zone algorithm to create bichromatic reverse nearest neighbour region for a specific query point on mobile devices. The model is developed in a closed wireless network and various types of mobile devices with different hardware specifications are used. Our experiments show that RNN queries by region can be solved in mobile devices and different mobile CPUs do not give significant performance in processing the queries.
Keywords :
mobile handsets; RNN queries; bichromatic reverse nearest neighbour region; closed wireless network; contact zone algorithm; hardware specifications; heavyweight algorithm; lightweight approach; mobile device hardware; query point; Global Positioning System; Hardware; Mobile communication; Mobile handsets; Servers; Wireless networks; Mobile Devices; Mobile Networks; Reverse Nearest Neighbour;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
Conference_Location :
Victoria, BC
ISSN :
1550-445X
Print_ISBN :
978-1-4799-3629-8
Type :
conf
DOI :
10.1109/AINA.2014.57
Filename :
6838700
Link To Document :
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