Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm

A repairing strategy for the coverage of the sensor network based on multi-mobile nodes and path planning is designed.Such mechanism can ultimately repair common nodes in a timely fashion via energy consumption analysis of the nodes by using genetic algorithm to calculate the reasonable moving path...

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Main Authors: Miao YE, Yu-ping WANG, Jing-xuan WEI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.12.006/
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author Miao YE
Yu-ping WANG
Jing-xuan WEI
author_facet Miao YE
Yu-ping WANG
Jing-xuan WEI
author_sort Miao YE
collection DOAJ
description A repairing strategy for the coverage of the sensor network based on multi-mobile nodes and path planning is designed.Such mechanism can ultimately repair common nodes in a timely fashion via energy consumption analysis of the nodes by using genetic algorithm to calculate the reasonable moving path of the mobile nodes,which can avoid cov-erage holes caused by the death of sensor nodes at its best.The global convergence the designed algorithm is proved by stochastic process.Simulation experiments have proven the effectiveness of the designed mechanism and the relevant solution algorithm.
format Article
id doaj-art-82bf7cfea2b44065a65dfe3afb7a9923
institution Kabale University
issn 1000-436X
language zho
publishDate 2014-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-82bf7cfea2b44065a65dfe3afb7a99232025-01-14T06:44:32ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-12-0135455259687366Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithmMiao YEYu-ping WANGJing-xuan WEIA repairing strategy for the coverage of the sensor network based on multi-mobile nodes and path planning is designed.Such mechanism can ultimately repair common nodes in a timely fashion via energy consumption analysis of the nodes by using genetic algorithm to calculate the reasonable moving path of the mobile nodes,which can avoid cov-erage holes caused by the death of sensor nodes at its best.The global convergence the designed algorithm is proved by stochastic process.Simulation experiments have proven the effectiveness of the designed mechanism and the relevant solution algorithm.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.12.006/wireless sensor networkcoverage holerepair lifetimemulti-mobile node
spellingShingle Miao YE
Yu-ping WANG
Jing-xuan WEI
Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm
Tongxin xuebao
wireless sensor network
coverage hole
repair
lifetime
multi-mobile node
title Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm
title_full Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm
title_fullStr Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm
title_full_unstemmed Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm
title_short Coverage repair strategies for wireless sensor networks based on muti-mobile nodes and genetic algorithm
title_sort coverage repair strategies for wireless sensor networks based on muti mobile nodes and genetic algorithm
topic wireless sensor network
coverage hole
repair
lifetime
multi-mobile node
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.12.006/
work_keys_str_mv AT miaoye coveragerepairstrategiesforwirelesssensornetworksbasedonmutimobilenodesandgeneticalgorithm
AT yupingwang coveragerepairstrategiesforwirelesssensornetworksbasedonmutimobilenodesandgeneticalgorithm
AT jingxuanwei coveragerepairstrategiesforwirelesssensornetworksbasedonmutimobilenodesandgeneticalgorithm