Integrated algorithm based on vectors in node localization for wireless sensor networks
An integrated algorithm based on DV-hop was designed and applied to mobile nodes. A location correction vector(LCV)was constructed by the differences between estimated distances and range measurements; an improved particle swarm optimization (PSO) was used to find correction steps of nodes; location...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2008-01-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/74653212/ |
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author | WANG Yu-feng WANG Yan |
author_facet | WANG Yu-feng WANG Yan |
author_sort | WANG Yu-feng |
collection | DOAJ |
description | An integrated algorithm based on DV-hop was designed and applied to mobile nodes. A location correction vector(LCV)was constructed by the differences between estimated distances and range measurements; an improved particle swarm optimization (PSO) was used to find correction steps of nodes; location correction equaled the value of LCV multiplying step. The algorithm and its complexity and validity had been approved through simulation,the results show that the localization error of DV-hop has been reduced by 75% using the algorithm, and it is also applicable to low-density networks. |
format | Article |
id | doaj-art-f5ed6ad2a3b943b883984214c65ba784 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2008-01-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-f5ed6ad2a3b943b883984214c65ba7842025-01-14T08:31:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2008-01-012922723174653212Integrated algorithm based on vectors in node localization for wireless sensor networksWANG Yu-fengWANG YanAn integrated algorithm based on DV-hop was designed and applied to mobile nodes. A location correction vector(LCV)was constructed by the differences between estimated distances and range measurements; an improved particle swarm optimization (PSO) was used to find correction steps of nodes; location correction equaled the value of LCV multiplying step. The algorithm and its complexity and validity had been approved through simulation,the results show that the localization error of DV-hop has been reduced by 75% using the algorithm, and it is also applicable to low-density networks.http://www.joconline.com.cn/zh/article/74653212/wireless sensor networkslocalizationmobile nodelocation correction vectorparticle swarm optimizationDV-hop |
spellingShingle | WANG Yu-feng WANG Yan Integrated algorithm based on vectors in node localization for wireless sensor networks Tongxin xuebao wireless sensor networks localization mobile node location correction vector particle swarm optimization DV-hop |
title | Integrated algorithm based on vectors in node localization for wireless sensor networks |
title_full | Integrated algorithm based on vectors in node localization for wireless sensor networks |
title_fullStr | Integrated algorithm based on vectors in node localization for wireless sensor networks |
title_full_unstemmed | Integrated algorithm based on vectors in node localization for wireless sensor networks |
title_short | Integrated algorithm based on vectors in node localization for wireless sensor networks |
title_sort | integrated algorithm based on vectors in node localization for wireless sensor networks |
topic | wireless sensor networks localization mobile node location correction vector particle swarm optimization DV-hop |
url | http://www.joconline.com.cn/zh/article/74653212/ |
work_keys_str_mv | AT wangyufeng integratedalgorithmbasedonvectorsinnodelocalizationforwirelesssensornetworks AT wangyan integratedalgorithmbasedonvectorsinnodelocalizationforwirelesssensornetworks |