Transitive Nearest Neighbor Search in Mobile Environments
Given a query point p, typically the position of a current client, and two datasets S and R, a transitive nearest neighbor (TNN) search returns a pair of objects (s, r) E¸ S x R such that the total distance from p to s and then to r, i.e., dis(p, s) + dis(s, r), is minimum. We propose various algori...
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sg-smu-ink.sis_research-15262010-09-24T07:00:25Z Transitive Nearest Neighbor Search in Mobile Environments ZHENG, Baihua LEE, Ken C. K. LEE, Wang-Chien Given a query point p, typically the position of a current client, and two datasets S and R, a transitive nearest neighbor (TNN) search returns a pair of objects (s, r) E¸ S x R such that the total distance from p to s and then to r, i.e., dis(p, s) + dis(s, r), is minimum. We propose various algorithms for supporting TNN search as a kind of locationbased services in both on-demand-based and broadcastbased mobile environments. In addition, we develop a novel validation algorithm that allows the clients to verify whether their TNN query answers are still valid after they moved to new positions. Finally, we conduct a comprehensive simulation to evaluate performance of the proposed TNN search algorithms. 2007-06-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/527 info:doi/10.1109/SUTC.2006.138 http://dx.doi.org/10.1109/SUTC.2006.138 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing |
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Databases and Information Systems Numerical Analysis and Scientific Computing ZHENG, Baihua LEE, Ken C. K. LEE, Wang-Chien Transitive Nearest Neighbor Search in Mobile Environments |
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Given a query point p, typically the position of a current client, and two datasets S and R, a transitive nearest neighbor (TNN) search returns a pair of objects (s, r) E¸ S x R such that the total distance from p to s and then to r, i.e., dis(p, s) + dis(s, r), is minimum. We propose various algorithms for supporting TNN search as a kind of locationbased services in both on-demand-based and broadcastbased mobile environments. In addition, we develop a novel validation algorithm that allows the clients to verify whether their TNN query answers are still valid after they moved to new positions. Finally, we conduct a comprehensive simulation to evaluate performance of the proposed TNN search algorithms. |
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text |
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ZHENG, Baihua LEE, Ken C. K. LEE, Wang-Chien |
author_facet |
ZHENG, Baihua LEE, Ken C. K. LEE, Wang-Chien |
author_sort |
ZHENG, Baihua |
title |
Transitive Nearest Neighbor Search in Mobile Environments |
title_short |
Transitive Nearest Neighbor Search in Mobile Environments |
title_full |
Transitive Nearest Neighbor Search in Mobile Environments |
title_fullStr |
Transitive Nearest Neighbor Search in Mobile Environments |
title_full_unstemmed |
Transitive Nearest Neighbor Search in Mobile Environments |
title_sort |
transitive nearest neighbor search in mobile environments |
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Institutional Knowledge at Singapore Management University |
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2007 |
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https://ink.library.smu.edu.sg/sis_research/527 http://dx.doi.org/10.1109/SUTC.2006.138 |
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1770570461661364224 |