(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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Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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Series: | Tongxin xuebao |
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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 |