Data aggregation in wireless sensor network for optimizing network lifetime

Taking target tracking in wireless sensor network(WSN)as application background,data aggregation for optimizing network lifetime based on extended Kalman filter method was researched,and an algorithm which considered both tracking accuracy and node energy to real-time schedule node groups involved i...

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Main Authors: Qifen DONG, Hongyu CHEN, Guojun LI, Kang WANG, Zhen HONG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-06-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016139/
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author Qifen DONG
Hongyu CHEN
Guojun LI
Kang WANG
Zhen HONG
author_facet Qifen DONG
Hongyu CHEN
Guojun LI
Kang WANG
Zhen HONG
author_sort Qifen DONG
collection DOAJ
description Taking target tracking in wireless sensor network(WSN)as application background,data aggregation for optimizing network lifetime based on extended Kalman filter method was researched,and an algorithm which considered both tracking accuracy and node energy to real-time schedule node groups involved in the data integration was designed.Simulations show that the proposed algorithm makes the tracking results do not deviate from the trajectory of target as long as the target speed is within a certain speed range.In addition,compared with the Random method and the All method,the proposed algorithm greatly prolongs network lifetime.
format Article
id doaj-art-5cf065d460e74f3d94ac17c989fc32a1
institution Kabale University
issn 1000-0801
language zho
publishDate 2016-06-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-5cf065d460e74f3d94ac17c989fc32a12025-01-15T03:14:42ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-06-013211612359608301Data aggregation in wireless sensor network for optimizing network lifetimeQifen DONGHongyu CHENGuojun LIKang WANGZhen HONGTaking target tracking in wireless sensor network(WSN)as application background,data aggregation for optimizing network lifetime based on extended Kalman filter method was researched,and an algorithm which considered both tracking accuracy and node energy to real-time schedule node groups involved in the data integration was designed.Simulations show that the proposed algorithm makes the tracking results do not deviate from the trajectory of target as long as the target speed is within a certain speed range.In addition,compared with the Random method and the All method,the proposed algorithm greatly prolongs network lifetime.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016139/wireless sensor networkoptimizing network lifetimedata aggregationKalman filter
spellingShingle Qifen DONG
Hongyu CHEN
Guojun LI
Kang WANG
Zhen HONG
Data aggregation in wireless sensor network for optimizing network lifetime
Dianxin kexue
wireless sensor network
optimizing network lifetime
data aggregation
Kalman filter
title Data aggregation in wireless sensor network for optimizing network lifetime
title_full Data aggregation in wireless sensor network for optimizing network lifetime
title_fullStr Data aggregation in wireless sensor network for optimizing network lifetime
title_full_unstemmed Data aggregation in wireless sensor network for optimizing network lifetime
title_short Data aggregation in wireless sensor network for optimizing network lifetime
title_sort data aggregation in wireless sensor network for optimizing network lifetime
topic wireless sensor network
optimizing network lifetime
data aggregation
Kalman filter
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016139/
work_keys_str_mv AT qifendong dataaggregationinwirelesssensornetworkforoptimizingnetworklifetime
AT hongyuchen dataaggregationinwirelesssensornetworkforoptimizingnetworklifetime
AT guojunli dataaggregationinwirelesssensornetworkforoptimizingnetworklifetime
AT kangwang dataaggregationinwirelesssensornetworkforoptimizingnetworklifetime
AT zhenhong dataaggregationinwirelesssensornetworkforoptimizingnetworklifetime