Approximate algorithm for median query based on WSN

An approximate algorithm for median query(AAMQ) based on WSN was proposed.In AAMQ,each node could estimate the value of the distinct number,and created a subsequence samples which get K percent of the most com-monly used values in its own observed values,and then broadcasted its subsequence to the p...

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Main Authors: LIU Cai-ping1, MAO Jian-xu2, LI Ren-fa1, FU Bin1
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/74418741/
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author LIU Cai-ping1
MAO Jian-xu2
LI Ren-fa1
FU Bin1
author_facet LIU Cai-ping1
MAO Jian-xu2
LI Ren-fa1
FU Bin1
author_sort LIU Cai-ping1
collection DOAJ
description An approximate algorithm for median query(AAMQ) based on WSN was proposed.In AAMQ,each node could estimate the value of the distinct number,and created a subsequence samples which get K percent of the most com-monly used values in its own observed values,and then broadcasted its subsequence to the parents.Finally,these samples were combined to a single sample in the root node which its data structure was far smaller than the size of the whole data set.The approximate value for median query could be introduced from the sample quickly.Experimental results show that the proposed algorithm can greatly reduce the communication,has the advantages of low error range,and is able to significantly prolong system life.
format Article
id doaj-art-addcc218440744beb8c467456a870c85
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-addcc218440744beb8c467456a870c852025-01-14T08:23:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013215716474418741Approximate algorithm for median query based on WSNLIU Cai-ping1MAO Jian-xu2LI Ren-fa1FU Bin1An approximate algorithm for median query(AAMQ) based on WSN was proposed.In AAMQ,each node could estimate the value of the distinct number,and created a subsequence samples which get K percent of the most com-monly used values in its own observed values,and then broadcasted its subsequence to the parents.Finally,these samples were combined to a single sample in the root node which its data structure was far smaller than the size of the whole data set.The approximate value for median query could be introduced from the sample quickly.Experimental results show that the proposed algorithm can greatly reduce the communication,has the advantages of low error range,and is able to significantly prolong system life.http://www.joconline.com.cn/zh/article/74418741/wireless sensor networksmedian queryapproximate algorithmaggregate algorithm
spellingShingle LIU Cai-ping1
MAO Jian-xu2
LI Ren-fa1
FU Bin1
Approximate algorithm for median query based on WSN
Tongxin xuebao
wireless sensor networks
median query
approximate algorithm
aggregate algorithm
title Approximate algorithm for median query based on WSN
title_full Approximate algorithm for median query based on WSN
title_fullStr Approximate algorithm for median query based on WSN
title_full_unstemmed Approximate algorithm for median query based on WSN
title_short Approximate algorithm for median query based on WSN
title_sort approximate algorithm for median query based on wsn
topic wireless sensor networks
median query
approximate algorithm
aggregate algorithm
url http://www.joconline.com.cn/zh/article/74418741/
work_keys_str_mv AT liucaiping1 approximatealgorithmformedianquerybasedonwsn
AT maojianxu2 approximatealgorithmformedianquerybasedonwsn
AT lirenfa1 approximatealgorithmformedianquerybasedonwsn
AT fubin1 approximatealgorithmformedianquerybasedonwsn