(ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks

A sampling based approximate Top-k algorithm was proposed that is adaptive for any data distribution.δ≥0 and 0≤δ<1 are respectively relative error bound and failure probability bound.The theoretical analysis demonstrates that for any δ≥0 and 0≤δ<1 the probability that the relative error bound...

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Main Authors: BI Ran, LI Jian-zhong, CHENG Si-yao
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74417751/
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author BI Ran
LI Jian-zhong
CHENG Si-yao
author_facet BI Ran
LI Jian-zhong
CHENG Si-yao
author_sort BI Ran
collection DOAJ
description A sampling based approximate Top-k algorithm was proposed that is adaptive for any data distribution.δ≥0 and 0≤δ<1 are respectively relative error bound and failure probability bound.The theoretical analysis demonstrates that for any δ≥0 and 0≤δ<1 the probability that the relative error bound of the results returned by this algorithm is larger than ε/(1+ε) is less than δ.So the proposed algorithm can reach arbitrary precision.Furthermore,an optimal sampling algorithm was proposed that supported the approximate Top-k query,and through the technique of data filtering the en-ergy consumption of communication was reduced.Theoretical analysis and simulation show that the proposed algorithm is efficient and consumes little energy.
format Article
id doaj-art-b181e52ba4d14c65995690661ffde2a9
institution Kabale University
issn 1000-436X
language zho
publishDate 2011-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-b181e52ba4d14c65995690661ffde2a92025-01-14T08:22:20ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-0132455474417751(ε,δ)-approximate Top-k query processing algorithm in wireless sensor networksBI RanLI Jian-zhongCHENG Si-yaoA sampling based approximate Top-k algorithm was proposed that is adaptive for any data distribution.δ≥0 and 0≤δ<1 are respectively relative error bound and failure probability bound.The theoretical analysis demonstrates that for any δ≥0 and 0≤δ<1 the probability that the relative error bound of the results returned by this algorithm is larger than ε/(1+ε) is less than δ.So the proposed algorithm can reach arbitrary precision.Furthermore,an optimal sampling algorithm was proposed that supported the approximate Top-k query,and through the technique of data filtering the en-ergy consumption of communication was reduced.Theoretical analysis and simulation show that the proposed algorithm is efficient and consumes little energy.http://www.joconline.com.cn/zh/article/74417751/approximate Top-k querysampling algorithmwireless sensor networks
spellingShingle BI Ran
LI Jian-zhong
CHENG Si-yao
(ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks
Tongxin xuebao
approximate Top-k query
sampling algorithm
wireless sensor networks
title (ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks
title_full (ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks
title_fullStr (ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks
title_full_unstemmed (ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks
title_short (ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks
title_sort ε δ approximate top k query processing algorithm in wireless sensor networks
topic approximate Top-k query
sampling algorithm
wireless sensor networks
url http://www.joconline.com.cn/zh/article/74417751/
work_keys_str_mv AT biran edapproximatetopkqueryprocessingalgorithminwirelesssensornetworks
AT lijianzhong edapproximatetopkqueryprocessingalgorithminwirelesssensornetworks
AT chengsiyao edapproximatetopkqueryprocessingalgorithminwirelesssensornetworks