Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer
Node location is an important problem in wireless sensor network.Although the location algorithm based on distance measurement has small positioning error, it has many limitations when applied to outdoor environments.Therefore, based on the original distance vector-hop (DV-Hop) algorithm, received s...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2021-12-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00222/ |
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| _version_ | 1841531188827652096 |
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| author | Xiaoqiang ZHAO Shuai WU Chuanyi GAO Ning LI Bodong LI Xiaoyong YANG |
| author_facet | Xiaoqiang ZHAO Shuai WU Chuanyi GAO Ning LI Bodong LI Xiaoyong YANG |
| author_sort | Xiaoqiang ZHAO |
| collection | DOAJ |
| description | Node location is an important problem in wireless sensor network.Although the location algorithm based on distance measurement has small positioning error, it has many limitations when applied to outdoor environments.Therefore, based on the original distance vector-hop (DV-Hop) algorithm, received signal strength indication (RSSI) technology and the minimum mean square error (MMSE) criterion to modify the algorithm’s ranging process were introduced, and the improved gray wolf optimizer was used to optimize the process of determining the coordinates of unknown nodes.Simulation results show that, compared with the original DV-Hop algorithm and IPDV-Hop algorithm, the average location error rate of the IGDV-Hop algorithm under the initial parameters was reduced by 28% and 17% respectively, and the location effect was significantly improved. |
| format | Article |
| id | doaj-art-9e5268ffc64d4af68d3643543d34ab7a |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2021-12-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-9e5268ffc64d4af68d3643543d34ab7a2025-01-15T02:53:09ZzhoChina InfoCom Media Group物联网学报2096-37502021-12-015627059647702Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizerXiaoqiang ZHAOShuai WUChuanyi GAONing LIBodong LIXiaoyong YANGNode location is an important problem in wireless sensor network.Although the location algorithm based on distance measurement has small positioning error, it has many limitations when applied to outdoor environments.Therefore, based on the original distance vector-hop (DV-Hop) algorithm, received signal strength indication (RSSI) technology and the minimum mean square error (MMSE) criterion to modify the algorithm’s ranging process were introduced, and the improved gray wolf optimizer was used to optimize the process of determining the coordinates of unknown nodes.Simulation results show that, compared with the original DV-Hop algorithm and IPDV-Hop algorithm, the average location error rate of the IGDV-Hop algorithm under the initial parameters was reduced by 28% and 17% respectively, and the location effect was significantly improved.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00222/wireless sensor networknode locationDV-Hop algorithmgray wolf optimizer |
| spellingShingle | Xiaoqiang ZHAO Shuai WU Chuanyi GAO Ning LI Bodong LI Xiaoyong YANG Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer 物联网学报 wireless sensor network node location DV-Hop algorithm gray wolf optimizer |
| title | Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer |
| title_full | Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer |
| title_fullStr | Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer |
| title_full_unstemmed | Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer |
| title_short | Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer |
| title_sort | research on dv hop location algorithm based on range correction and improved gray wolf optimizer |
| topic | wireless sensor network node location DV-Hop algorithm gray wolf optimizer |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00222/ |
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