Wireless sensor node localization based on IPSO-MC
To solve the problem of insufficient node positioning accuracy in wireless sensor networks,an algorithm based on improved particle swarm optimization by membrane computing (IPSO-MC) was proposed.Kent mapping was used to initialize the population and domain particles were introduced to improve the gl...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2020-03-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020063/ |
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| _version_ | 1841530570077634560 |
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| author | Yongyan LI Jianping WU |
| author_facet | Yongyan LI Jianping WU |
| author_sort | Yongyan LI |
| collection | DOAJ |
| description | To solve the problem of insufficient node positioning accuracy in wireless sensor networks,an algorithm based on improved particle swarm optimization by membrane computing (IPSO-MC) was proposed.Kent mapping was used to initialize the population and domain particles were introduced to improve the global optimization of the particle swarm.The weight factor and nonlinear extreme value perturbation were used to improve the local optimization ability of the particle swarm,and the Levy flight mechanism was used to optimize the individual position.Finally,the optimal solution of the particle swarm algorithm was obtained by the evolutionary rules of the membrane computing.Simulation experiments show that compared with the chicken flock algorithm,the improved particle swarm algorithm and the membrane computing,the proposed algorithm improves 3.24%,5.12% and 8.15% in the comparison of reference node ratio indicators,and the increase in the number of nodes indicators by 2.26%,7.82% and 9.81%,and the comparison of communication radius indicators increased by 2.15%,5.5% and 7.5%,respectively.This indicates that the algorithm has a good effect in node localization. |
| format | Article |
| id | doaj-art-120faba75b48468899b962783b7c4913 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2020-03-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-120faba75b48468899b962783b7c49132025-01-15T03:00:59ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-03-0136111859583894Wireless sensor node localization based on IPSO-MCYongyan LIJianping WUTo solve the problem of insufficient node positioning accuracy in wireless sensor networks,an algorithm based on improved particle swarm optimization by membrane computing (IPSO-MC) was proposed.Kent mapping was used to initialize the population and domain particles were introduced to improve the global optimization of the particle swarm.The weight factor and nonlinear extreme value perturbation were used to improve the local optimization ability of the particle swarm,and the Levy flight mechanism was used to optimize the individual position.Finally,the optimal solution of the particle swarm algorithm was obtained by the evolutionary rules of the membrane computing.Simulation experiments show that compared with the chicken flock algorithm,the improved particle swarm algorithm and the membrane computing,the proposed algorithm improves 3.24%,5.12% and 8.15% in the comparison of reference node ratio indicators,and the increase in the number of nodes indicators by 2.26%,7.82% and 9.81%,and the comparison of communication radius indicators increased by 2.15%,5.5% and 7.5%,respectively.This indicates that the algorithm has a good effect in node localization.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020063/wireless sensor networknode locationparticle swarm algorithmmembrane computing |
| spellingShingle | Yongyan LI Jianping WU Wireless sensor node localization based on IPSO-MC Dianxin kexue wireless sensor network node location particle swarm algorithm membrane computing |
| title | Wireless sensor node localization based on IPSO-MC |
| title_full | Wireless sensor node localization based on IPSO-MC |
| title_fullStr | Wireless sensor node localization based on IPSO-MC |
| title_full_unstemmed | Wireless sensor node localization based on IPSO-MC |
| title_short | Wireless sensor node localization based on IPSO-MC |
| title_sort | wireless sensor node localization based on ipso mc |
| topic | wireless sensor network node location particle swarm algorithm membrane computing |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020063/ |
| work_keys_str_mv | AT yongyanli wirelesssensornodelocalizationbasedonipsomc AT jianpingwu wirelesssensornodelocalizationbasedonipsomc |