Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things
In the future, the Internet of things will reduce the cell radius and increase the number of low-power nodes to support thousands of times of traffic growth under 5G. As a virtual multiple input multiple output technology, cooperative communication technology can solve these problems effectively. Ac...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/15501329221135160 |
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| _version_ | 1832555291815706624 |
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| author | Jianrong Wang Pan Zhang Wei Bai Guoyuan Yang Yunyun Yang |
| author_facet | Jianrong Wang Pan Zhang Wei Bai Guoyuan Yang Yunyun Yang |
| author_sort | Jianrong Wang |
| collection | DOAJ |
| description | In the future, the Internet of things will reduce the cell radius and increase the number of low-power nodes to support thousands of times of traffic growth under 5G. As a virtual multiple input multiple output technology, cooperative communication technology can solve these problems effectively. According to the evolution characteristics of cooperative communication networks, a multi-domain cooperative communication network evolution model with preferential attachment and random attachment is constructed in this article. And then, the network properties and robustness are analyzed using the mean-field method and different attacks. Aiming at the resource constraints and resource allocation problems of communication nodes, a relay selection strategy based on the combination of maximum degree and minimum clustering coefficient is proposed. The simulation results show that the relay node selection strategy based on the combination of maximum degree and minimum clustering coefficient has significant advantages in selection steps and selection time, which greatly enhanced the performance of relay selection in multi-domain cooperative communication networks. Through real-time monitoring and updating of the performance and security indicators of the multi-domain cooperative communication networks, it provides a strong guarantee for the node deployment and security management of the Internet of things cooperative communication system. |
| format | Article |
| id | doaj-art-d77310dcddb74d35832b5ae9e8760a06 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2022-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-d77310dcddb74d35832b5ae9e8760a062025-02-03T05:48:40ZengWileyInternational Journal of Distributed Sensor Networks1550-14772022-11-011810.1177/15501329221135160Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of thingsJianrong Wang0Pan Zhang1Wei Bai2Guoyuan Yang3Yunyun Yang4College of Intelligence and Computing, Tianjin University, Tianjin, ChinaSchool of Mathematical Sciences, Shanxi University, Taiyuan, ChinaInstitute of Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing, ChinaInstitute of Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing, ChinaCollege of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, ChinaIn the future, the Internet of things will reduce the cell radius and increase the number of low-power nodes to support thousands of times of traffic growth under 5G. As a virtual multiple input multiple output technology, cooperative communication technology can solve these problems effectively. According to the evolution characteristics of cooperative communication networks, a multi-domain cooperative communication network evolution model with preferential attachment and random attachment is constructed in this article. And then, the network properties and robustness are analyzed using the mean-field method and different attacks. Aiming at the resource constraints and resource allocation problems of communication nodes, a relay selection strategy based on the combination of maximum degree and minimum clustering coefficient is proposed. The simulation results show that the relay node selection strategy based on the combination of maximum degree and minimum clustering coefficient has significant advantages in selection steps and selection time, which greatly enhanced the performance of relay selection in multi-domain cooperative communication networks. Through real-time monitoring and updating of the performance and security indicators of the multi-domain cooperative communication networks, it provides a strong guarantee for the node deployment and security management of the Internet of things cooperative communication system.https://doi.org/10.1177/15501329221135160 |
| spellingShingle | Jianrong Wang Pan Zhang Wei Bai Guoyuan Yang Yunyun Yang Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things International Journal of Distributed Sensor Networks |
| title | Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things |
| title_full | Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things |
| title_fullStr | Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things |
| title_full_unstemmed | Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things |
| title_short | Evolutionary modeling and robustness analysis of multi-domain cooperative communication network under the environment of Internet of things |
| title_sort | evolutionary modeling and robustness analysis of multi domain cooperative communication network under the environment of internet of things |
| url | https://doi.org/10.1177/15501329221135160 |
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