Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization
In the cognitive internet of things (CIoT), due to the non-cooperative characteristics between the primary user (PU) and the secondary user (SU), it is unreliable to seek the spectrum access opportunity by merely relying on traditional spectrum sensing technology.As an important type of auxiliary in...
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| Format: | Article |
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China InfoCom Media Group
2023-03-01
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| Series: | 物联网学报 |
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| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00312/ |
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| author | Bin SHEN Yinbo LI Xiaowei LIANG |
| author_facet | Bin SHEN Yinbo LI Xiaowei LIANG |
| author_sort | Bin SHEN |
| collection | DOAJ |
| description | In the cognitive internet of things (CIoT), due to the non-cooperative characteristics between the primary user (PU) and the secondary user (SU), it is unreliable to seek the spectrum access opportunity by merely relying on traditional spectrum sensing technology.As an important type of auxiliary information, the mutual location information between PU and SU can assist in determining the possibility of secondary access to the licensed frequency band (LFB).A low-complexity neighbor-based weighted centroid localization (NB-WCL) algorithm was proposed to solve the localization problem of SUs in CIoT, so as to complete the decision of whether spectrum access can be performed at each geographical location in CIoT.The root mean square root error (RMSE) performance of two-dimensional position estimation was analyzed and the impacts of factors were verified such as communication radius, node density, shadowing influence, path loss exponent, connectivity metric, and the number of data transmitted on the algorithm performance in simulations.The theoretical derivation and experimental results show that the proposed scheme provides more robust and better localization error performance for the SU localization algorithm in CIoT than the traditional localization algorithms, which can effectively enhance the reliability of CIoT for spectrum access.The proposed scheme can serve as a practically effective candidate solution in the CIoT. |
| format | Article |
| id | doaj-art-a0d0d73671af444c92a603aff8f48b9c |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2023-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-a0d0d73671af444c92a603aff8f48b9c2025-01-15T02:54:39ZzhoChina InfoCom Media Group物联网学报2096-37502023-03-0179310859579562Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localizationBin SHENYinbo LIXiaowei LIANGIn the cognitive internet of things (CIoT), due to the non-cooperative characteristics between the primary user (PU) and the secondary user (SU), it is unreliable to seek the spectrum access opportunity by merely relying on traditional spectrum sensing technology.As an important type of auxiliary information, the mutual location information between PU and SU can assist in determining the possibility of secondary access to the licensed frequency band (LFB).A low-complexity neighbor-based weighted centroid localization (NB-WCL) algorithm was proposed to solve the localization problem of SUs in CIoT, so as to complete the decision of whether spectrum access can be performed at each geographical location in CIoT.The root mean square root error (RMSE) performance of two-dimensional position estimation was analyzed and the impacts of factors were verified such as communication radius, node density, shadowing influence, path loss exponent, connectivity metric, and the number of data transmitted on the algorithm performance in simulations.The theoretical derivation and experimental results show that the proposed scheme provides more robust and better localization error performance for the SU localization algorithm in CIoT than the traditional localization algorithms, which can effectively enhance the reliability of CIoT for spectrum access.The proposed scheme can serve as a practically effective candidate solution in the CIoT.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00312/weighted centroid localizationcognitive internet of thingsneighbor relationshipperformance analysisspectrum access |
| spellingShingle | Bin SHEN Yinbo LI Xiaowei LIANG Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization 物联网学报 weighted centroid localization cognitive internet of things neighbor relationship performance analysis spectrum access |
| title | Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization |
| title_full | Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization |
| title_fullStr | Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization |
| title_full_unstemmed | Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization |
| title_short | Spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization |
| title_sort | spectrum access control for cognitive internet of things users based on enhanced weighted centroid localization |
| topic | weighted centroid localization cognitive internet of things neighbor relationship performance analysis spectrum access |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00312/ |
| work_keys_str_mv | AT binshen spectrumaccesscontrolforcognitiveinternetofthingsusersbasedonenhancedweightedcentroidlocalization AT yinboli spectrumaccesscontrolforcognitiveinternetofthingsusersbasedonenhancedweightedcentroidlocalization AT xiaoweiliang spectrumaccesscontrolforcognitiveinternetofthingsusersbasedonenhancedweightedcentroidlocalization |