Content area

Abstract

This article addresses the top-k query processing problem on mobile ad hoc networks (MANETs). Top-k query processing is common to retrieve only highly important data items. However, methods for top-k query processing are not enough efficient and accurate in MANET environments. For improving the efficiency and accuracy, replication is a promising technique that each node in MANETs replicates data items retained by other nodes into its storage. Therefore, we fully combine the top-k query processing with data replication. We propose a framework that efficiently processes top-k queries based on a new replication strategy. We develop new replication strategy FReT (topology-Free Replication for Top-k query). FReT determines near-optimal allocations of replicas. It advantages efficient top-k query processing from limited search area without maintenance costs even if mobile nodes move. Our top-k query processing methods retrieve the exact answer with small overhead and delay by gradually increasing the search area based on FReT. We demonstrate, through extensive experiments, that FReT and query processing methods function well in terms of small delay and overhead without sacrificing exactness of the query result.

Details

Title
Efficient framework for processing top-k queries with replication in mobile ad hoc networks
Author
Sasaki, Yuya 1   VIAFID ORCID Logo  ; Hara, Takahiro 1 ; Ishikawa, Yoshiharu 2 

 Graduate School of Information Science and Technology, Osaka University, Osaka, Japan 
 Graduate School of Informatics, Nagoya University, Nagoya, Japan 
Publication title
GeoInformatica; Dordrecht
Volume
23
Issue
4
Source details
Special Issue on Mobile Data Management and Analytics
Pages
591-620
Publication year
2019
Publication date
Oct 2019
Publisher
Springer Nature B.V.
Place of publication
Dordrecht
Country of publication
Netherlands
Publication subject
ISSN
13846175
e-ISSN
15737624
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2019-05-14
Milestone dates
2019-05-01 (Registration); 2018-10-13 (Received); 2019-05-01 (Accepted)
Publication history
 
 
   First posting date
14 May 2019
ProQuest document ID
2224137626
Document URL
https://www.proquest.com/scholarly-journals/efficient-framework-processing-top-k-queries-with/docview/2224137626/se-2?accountid=208611
Copyright
GeoInformatica is a copyright of Springer, (2019). All Rights Reserved.
Last updated
2024-10-05
Database
ProQuest One Academic