Haixun Wang, Jian Pei
Journal of Computer Science and Technology
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 the traditional spatial query processing in centralized databases does not address. For example, a significant challenge is presented by wireless broadcasting environments, which have excellent scalability but often exhibit high-latency database access. In this paper, we present a novel query processing technique that, though maintaining high scalability and accuracy, manages to reduce the latency considerably in answering LBSQs. 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 demonstrate the feasibility of our approach through a probabilistic analysis, and we illustrate the appeal of our technique through extensive simulation results. © 2008 IEEE.
Haixun Wang, Jian Pei
Journal of Computer Science and Technology
Charu C. Aggarwal, Haixun Wang
ICDE 2011
Wei Peng, Chang-Shing Perng, et al.
KDD 2007
Yun Chi, Philip S. Yu, et al.
SDM 2005