Processing transitive nearest-neighbor queries in multi-channel access environments

Wireless broadcast is an efficient way for information dissemination due to its good scalability [10]. Existing works typically assume mobile devices, such as cell phones and PDAs, can access only one channel at a time. In this paper, we consider a scenario of near future where a mobile device has t...

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Main Authors: ZHANG, Xiao, LEE, Wang-Chien, MITRA, Prasnjit, ZHENG, Baihua
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Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/sis_research/404
https://ink.library.smu.edu.sg/context/sis_research/article/1403/viewcontent/ProcessingTNNinMultiChannel.pdf
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spelling sg-smu-ink.sis_research-14032017-04-03T09:29:13Z Processing transitive nearest-neighbor queries in multi-channel access environments ZHANG, Xiao LEE, Wang-Chien MITRA, Prasnjit ZHENG, Baihua Wireless broadcast is an efficient way for information dissemination due to its good scalability [10]. Existing works typically assume mobile devices, such as cell phones and PDAs, can access only one channel at a time. In this paper, we consider a scenario of near future where a mobile device has the ability to process queries using information simultaneously received from multiple channels. We focus on the query processing of the transitive nearest neighbor (TNN) search [19]. Two TNN algorithms developed for a single broadcast channel environment are adapted to our new broadcast enviroment. Based on the obtained insights, we propose two new algorithms, namely Double-NN-Search and Hybrid-NN-Search algorithms. Further, we develop an optimization technique, called approximate-NN (ANN), to reduce the energy consumption in mobile devices. Finally, we conduct a comprehensive set of experiments to validate our proposals. The result shows that our new algorithms provide a better performance than the existing ones and the optimization technique efficiently reduces energy consumption. 2008-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/404 info:doi/10.1145/1353343.1353399 https://ink.library.smu.edu.sg/context/sis_research/article/1403/viewcontent/ProcessingTNNinMultiChannel.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Multi-Channel access transitive nearest neighbor query processing query optimization approximate nearest neighbor Computer Sciences Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Multi-Channel access
transitive nearest neighbor
query processing
query optimization
approximate nearest neighbor
Computer Sciences
Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Multi-Channel access
transitive nearest neighbor
query processing
query optimization
approximate nearest neighbor
Computer Sciences
Databases and Information Systems
Numerical Analysis and Scientific Computing
ZHANG, Xiao
LEE, Wang-Chien
MITRA, Prasnjit
ZHENG, Baihua
Processing transitive nearest-neighbor queries in multi-channel access environments
description Wireless broadcast is an efficient way for information dissemination due to its good scalability [10]. Existing works typically assume mobile devices, such as cell phones and PDAs, can access only one channel at a time. In this paper, we consider a scenario of near future where a mobile device has the ability to process queries using information simultaneously received from multiple channels. We focus on the query processing of the transitive nearest neighbor (TNN) search [19]. Two TNN algorithms developed for a single broadcast channel environment are adapted to our new broadcast enviroment. Based on the obtained insights, we propose two new algorithms, namely Double-NN-Search and Hybrid-NN-Search algorithms. Further, we develop an optimization technique, called approximate-NN (ANN), to reduce the energy consumption in mobile devices. Finally, we conduct a comprehensive set of experiments to validate our proposals. The result shows that our new algorithms provide a better performance than the existing ones and the optimization technique efficiently reduces energy consumption.
format text
author ZHANG, Xiao
LEE, Wang-Chien
MITRA, Prasnjit
ZHENG, Baihua
author_facet ZHANG, Xiao
LEE, Wang-Chien
MITRA, Prasnjit
ZHENG, Baihua
author_sort ZHANG, Xiao
title Processing transitive nearest-neighbor queries in multi-channel access environments
title_short Processing transitive nearest-neighbor queries in multi-channel access environments
title_full Processing transitive nearest-neighbor queries in multi-channel access environments
title_fullStr Processing transitive nearest-neighbor queries in multi-channel access environments
title_full_unstemmed Processing transitive nearest-neighbor queries in multi-channel access environments
title_sort processing transitive nearest-neighbor queries in multi-channel access environments
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/sis_research/404
https://ink.library.smu.edu.sg/context/sis_research/article/1403/viewcontent/ProcessingTNNinMultiChannel.pdf
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