Improved node localization algorithm for wireless sensor network
An location algorithm called MCBN（Monte Carlo localization boxed using non-anchor） was proposed, which is based on the Monte Carlo localization algorithm. In this algorithm, the smallest anchor box is constructed by the an- chor nodes within two hops in the network and the non-anchor nodes with mini...
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| Main Authors: | , , , |
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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 |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74653945/ |
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| _version_ | 1841537516178505728 |
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| author | ZENG Fan-zi SUN Zheng-zhang LUO Juan LI Ren-fa |
| author_facet | ZENG Fan-zi SUN Zheng-zhang LUO Juan LI Ren-fa |
| author_sort | ZENG Fan-zi |
| collection | DOAJ |
| description | An location algorithm called MCBN（Monte Carlo localization boxed using non-anchor） was proposed, which is based on the Monte Carlo localization algorithm. In this algorithm, the smallest anchor box is constructed by the an- chor nodes within two hops in the network and the non-anchor nodes with minimum credit value and known coordinates, which leads to a shrank box where the sample and filter is more efficient to node location compared to the MCL and MCB. Simulation results show that MCBN has better performance than MCL and MCB in the node localization accuracy and energy consumption. |
| format | Article |
| id | doaj-art-1978b0ecd46c4617b55e435a53199cf7 |
| 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-1978b0ecd46c4617b55e435a53199cf72025-01-14T08:31:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2008-01-0129626674653945Improved node localization algorithm for wireless sensor networkZENG Fan-ziSUN Zheng-zhangLUO JuanLI Ren-faAn location algorithm called MCBN（Monte Carlo localization boxed using non-anchor） was proposed, which is based on the Monte Carlo localization algorithm. In this algorithm, the smallest anchor box is constructed by the an- chor nodes within two hops in the network and the non-anchor nodes with minimum credit value and known coordinates, which leads to a shrank box where the sample and filter is more efficient to node location compared to the MCL and MCB. Simulation results show that MCBN has better performance than MCL and MCB in the node localization accuracy and energy consumption.http://www.joconline.com.cn/zh/article/74653945/wireless sensor networkslocalizationanchor node |
| spellingShingle | ZENG Fan-zi SUN Zheng-zhang LUO Juan LI Ren-fa Improved node localization algorithm for wireless sensor network Tongxin xuebao wireless sensor networks localization anchor node |
| title | Improved node localization algorithm for wireless sensor network |
| title_full | Improved node localization algorithm for wireless sensor network |
| title_fullStr | Improved node localization algorithm for wireless sensor network |
| title_full_unstemmed | Improved node localization algorithm for wireless sensor network |
| title_short | Improved node localization algorithm for wireless sensor network |
| title_sort | improved node localization algorithm for wireless sensor network |
| topic | wireless sensor networks localization anchor node |
| url | http://www.joconline.com.cn/zh/article/74653945/ |
| work_keys_str_mv | AT zengfanzi improvednodelocalizationalgorithmforwirelesssensornetwork AT sunzhengzhang improvednodelocalizationalgorithmforwirelesssensornetwork AT luojuan improvednodelocalizationalgorithmforwirelesssensornetwork AT lirenfa improvednodelocalizationalgorithmforwirelesssensornetwork |