(ε,δ)-approximate counting algorithm for large scale wireless sensor networks

The problem of approximate counting for large scale wireless sensor networks was studied.Two approximate counting algorithms,DBT-ACA and DBT-BACA,based on DBT (digital binary tree) protocol were also proposed.The algorithms presented could attain the counting result in O(log logn)time while meeting...

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Main Authors: Jing-hua ZHU, Xue-min GUAN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-06-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436X.2013.06.021
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author Jing-hua ZHU
Xue-min GUAN
author_facet Jing-hua ZHU
Xue-min GUAN
author_sort Jing-hua ZHU
collection DOAJ
description The problem of approximate counting for large scale wireless sensor networks was studied.Two approximate counting algorithms,DBT-ACA and DBT-BACA,based on DBT (digital binary tree) protocol were also proposed.The algorithms presented could attain the counting result in O(log logn)time while meeting the(ε,δ)accuracy requirement.DBT-BACA exploits binary search,level-by-level forwarding and delay response technique to effectively reduce the query delay and transmission cost.Theoretical analysis and experimental results show that the proposed algorithms out-perform existing approaches in terms of estimation accuracy,time efficiency and energy cost.
format Article
id doaj-art-01c079ce5c574d1fad1b4e4ed38a9faf
institution OA Journals
issn 1000-436X
language zho
publishDate 2013-06-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-01c079ce5c574d1fad1b4e4ed38a9faf2025-08-20T02:09:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-06-013417418359673152(ε,δ)-approximate counting algorithm for large scale wireless sensor networksJing-hua ZHUXue-min GUANThe problem of approximate counting for large scale wireless sensor networks was studied.Two approximate counting algorithms,DBT-ACA and DBT-BACA,based on DBT (digital binary tree) protocol were also proposed.The algorithms presented could attain the counting result in O(log logn)time while meeting the(ε,δ)accuracy requirement.DBT-BACA exploits binary search,level-by-level forwarding and delay response technique to effectively reduce the query delay and transmission cost.Theoretical analysis and experimental results show that the proposed algorithms out-perform existing approaches in terms of estimation accuracy,time efficiency and energy cost.http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436X.2013.06.021wireless sensor networks;data aggregation;approximate algorithms;digital binary tree
spellingShingle Jing-hua ZHU
Xue-min GUAN
(ε,δ)-approximate counting algorithm for large scale wireless sensor networks
Tongxin xuebao
wireless sensor networks;data aggregation;approximate algorithms;digital binary tree
title (ε,δ)-approximate counting algorithm for large scale wireless sensor networks
title_full (ε,δ)-approximate counting algorithm for large scale wireless sensor networks
title_fullStr (ε,δ)-approximate counting algorithm for large scale wireless sensor networks
title_full_unstemmed (ε,δ)-approximate counting algorithm for large scale wireless sensor networks
title_short (ε,δ)-approximate counting algorithm for large scale wireless sensor networks
title_sort ε δ approximate counting algorithm for large scale wireless sensor networks
topic wireless sensor networks;data aggregation;approximate algorithms;digital binary tree
url http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436X.2013.06.021
work_keys_str_mv AT jinghuazhu edapproximatecountingalgorithmforlargescalewirelesssensornetworks
AT xueminguan edapproximatecountingalgorithmforlargescalewirelesssensornetworks