Title :
Location-based Spatial Queries with Data Sharing in Wireless Broadcast Environments
Author :
Ku, Wei-Shinn ; Zimmermann, Roger ; Wang, Haixun
Author_Institution :
Southern California Univ., Los Angeles, CA
Abstract :
Location-based spatial queries (LBSQs) refer to spatial queries whose answers rely on the location of the inquirer. Efficient processing of LBSQs is of critical importance with the ever-increasing deployment and use of mobile technologies. We show that LBSQs have certain unique characteristics that traditional spatial query processing in centralized databases does not address. For example, a significant challenge is presented by wireless broadcasting environments, which often exhibit high-latency database access. In this paper, we present a novel query processing technique that, while maintaining high scalability and accuracy, manages to reduce the latency considerably in answering location-based spatial queries. Our approach is based on peer-to-peer sharing, which enables us to process queries without delay at a mobile host by using query results cached in its neighboring mobile peers. We illustrate the appeal of our technique through extensive simulation results.
Keywords :
mobile computing; query processing; visual databases; data sharing; high-latency database access; location-based spatial queries; mobile technologies; spatial query processing; wireless broadcast environments; wireless broadcasting; Broadcasting; Delay; Hospitals; Network servers; Peer to peer computing; Privacy; Query processing; Scalability; Spatial databases; Wireless communication;
Conference_Titel :
Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0802-4
Electronic_ISBN :
1-4244-0803-2
DOI :
10.1109/ICDE.2007.369010