An urban expressway forwarding scheme for cognitive Internet of vehicles
The Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles appl...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720912947 |
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| _version_ | 1832556852892663808 |
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| author | Jing Wang Huyin Zhang Sheng Hao Chuhao Fu |
| author_facet | Jing Wang Huyin Zhang Sheng Hao Chuhao Fu |
| author_sort | Jing Wang |
| collection | DOAJ |
| description | The Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles applications and the limited spectrum resources. The multi-hop transmission is one of the most important issues in cognitive radio–enabled Internet of vehicles networks. Nevertheless, most existing forwarding solutions designed for the cognitive radio–enabled Internet of vehicles did not consider the urban expressway scenario, where primary base stations are densely installed with small coverage areas. In this case, it is difficult to ensure that the sender and the receiver of the same cognitive radio link have similar channel availability statistics, which makes cognitive radio links more likely to be interrupted. To address this challenge, we develop a multi-hop forwarding scheme to minimize the end-to-end delay for such networks. We first formulate the delay minimization problem as a non-linear integer optimization problem. Then, we propose an approach to select the relay candidates by jointly considering the high mobility of vehicles and the unique cognitive radio spectrum usage distributions in urban expressway scenarios. Finally, we propose the low-latency forwarding strategies by considering the channel availability and the delay cost of different situations of relay candidates. Simulations show the advantages of our proposed scheme, compared with state-of-art methods. |
| format | Article |
| id | doaj-art-d902515660e643f2b41e5dc528510a3c |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2020-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-d902515660e643f2b41e5dc528510a3c2025-02-03T05:44:19ZengWileyInternational Journal of Distributed Sensor Networks1550-14772020-03-011610.1177/1550147720912947An urban expressway forwarding scheme for cognitive Internet of vehiclesJing Wang0Huyin Zhang1Sheng Hao2Chuhao Fu3Department of Computer Science, University of Calgary, Calgary, AB, CanadaSchool of Computer Science, Wuhan University, Wuhan, P.R. ChinaSchool of Computer Science, Wuhan University, Wuhan, P.R. ChinaSchool of Computer Science and Technology, Wuhan University of Technology, Wuhan, P.R. ChinaThe Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles applications and the limited spectrum resources. The multi-hop transmission is one of the most important issues in cognitive radio–enabled Internet of vehicles networks. Nevertheless, most existing forwarding solutions designed for the cognitive radio–enabled Internet of vehicles did not consider the urban expressway scenario, where primary base stations are densely installed with small coverage areas. In this case, it is difficult to ensure that the sender and the receiver of the same cognitive radio link have similar channel availability statistics, which makes cognitive radio links more likely to be interrupted. To address this challenge, we develop a multi-hop forwarding scheme to minimize the end-to-end delay for such networks. We first formulate the delay minimization problem as a non-linear integer optimization problem. Then, we propose an approach to select the relay candidates by jointly considering the high mobility of vehicles and the unique cognitive radio spectrum usage distributions in urban expressway scenarios. Finally, we propose the low-latency forwarding strategies by considering the channel availability and the delay cost of different situations of relay candidates. Simulations show the advantages of our proposed scheme, compared with state-of-art methods.https://doi.org/10.1177/1550147720912947 |
| spellingShingle | Jing Wang Huyin Zhang Sheng Hao Chuhao Fu An urban expressway forwarding scheme for cognitive Internet of vehicles International Journal of Distributed Sensor Networks |
| title | An urban expressway forwarding scheme for cognitive Internet of vehicles |
| title_full | An urban expressway forwarding scheme for cognitive Internet of vehicles |
| title_fullStr | An urban expressway forwarding scheme for cognitive Internet of vehicles |
| title_full_unstemmed | An urban expressway forwarding scheme for cognitive Internet of vehicles |
| title_short | An urban expressway forwarding scheme for cognitive Internet of vehicles |
| title_sort | urban expressway forwarding scheme for cognitive internet of vehicles |
| url | https://doi.org/10.1177/1550147720912947 |
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