A Blockchain Solution for the Internet of Vehicles with Better Filtering and Adaptive Capabilities
The traditional consensus algorithm based on the Internet of Vehicles (IoV) system has the disadvantages of high latency, low reliability, and weak fault tolerance, and it cannot make real-time adjustments according to the actual environment, making the system vulnerable to malicious control, ineffi...
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MDPI AG
2025-02-01
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| Online Access: | https://www.mdpi.com/1424-8220/25/4/1030 |
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| author | Xueli Shen Runyu Ma |
| author_facet | Xueli Shen Runyu Ma |
| author_sort | Xueli Shen |
| collection | DOAJ |
| description | The traditional consensus algorithm based on the Internet of Vehicles (IoV) system has the disadvantages of high latency, low reliability, and weak fault tolerance, and it cannot make real-time adjustments according to the actual environment, making the system vulnerable to malicious control, inefficiency, and poor environmental adaptability. To solve this problem, we propose a gradually accelerating environment adaptive consensus algorithm, AE-PBFT, that can be applied to IoV. It includes a trust management model that achieves gradual acceleration by recording the historical continuous behavior of nodes, thereby improving the efficiency of screening nodes with different intentions, accelerating the consensus process, and reducing latency. At the same time, we introduce a dynamic consensus group division mechanism based on environmental adaptive changes, which can adaptively adjust the number of nodes participating in the consensus process according to the needs of the operating environment, to deal with extreme situations, thereby improving the reliability and fault tolerance of the system. Experiments confirm that the performance of our proposed solution is superior to current solutions in terms of consensus latency and fault tolerance and is more suitable for the operating environment of IoV. |
| format | Article |
| id | doaj-art-58db908bff2045ffa7442e030cded13f |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-58db908bff2045ffa7442e030cded13f2025-08-20T02:44:50ZengMDPI AGSensors1424-82202025-02-01254103010.3390/s25041030A Blockchain Solution for the Internet of Vehicles with Better Filtering and Adaptive CapabilitiesXueli Shen0Runyu Ma1School of Artificial Intelligence, Liaoning University of Engineering and Technology, No. 188 Longwan Street, Sijiatun Street, Xingcheng 125100, ChinaSchool of Artificial Intelligence, Liaoning University of Engineering and Technology, No. 188 Longwan Street, Sijiatun Street, Xingcheng 125100, ChinaThe traditional consensus algorithm based on the Internet of Vehicles (IoV) system has the disadvantages of high latency, low reliability, and weak fault tolerance, and it cannot make real-time adjustments according to the actual environment, making the system vulnerable to malicious control, inefficiency, and poor environmental adaptability. To solve this problem, we propose a gradually accelerating environment adaptive consensus algorithm, AE-PBFT, that can be applied to IoV. It includes a trust management model that achieves gradual acceleration by recording the historical continuous behavior of nodes, thereby improving the efficiency of screening nodes with different intentions, accelerating the consensus process, and reducing latency. At the same time, we introduce a dynamic consensus group division mechanism based on environmental adaptive changes, which can adaptively adjust the number of nodes participating in the consensus process according to the needs of the operating environment, to deal with extreme situations, thereby improving the reliability and fault tolerance of the system. Experiments confirm that the performance of our proposed solution is superior to current solutions in terms of consensus latency and fault tolerance and is more suitable for the operating environment of IoV.https://www.mdpi.com/1424-8220/25/4/1030internet of vehiclesblockchainconsensus algorithmtrust management modelgradual accelerationenvironmental adaptation |
| spellingShingle | Xueli Shen Runyu Ma A Blockchain Solution for the Internet of Vehicles with Better Filtering and Adaptive Capabilities Sensors internet of vehicles blockchain consensus algorithm trust management model gradual acceleration environmental adaptation |
| title | A Blockchain Solution for the Internet of Vehicles with Better Filtering and Adaptive Capabilities |
| title_full | A Blockchain Solution for the Internet of Vehicles with Better Filtering and Adaptive Capabilities |
| title_fullStr | A Blockchain Solution for the Internet of Vehicles with Better Filtering and Adaptive Capabilities |
| title_full_unstemmed | A Blockchain Solution for the Internet of Vehicles with Better Filtering and Adaptive Capabilities |
| title_short | A Blockchain Solution for the Internet of Vehicles with Better Filtering and Adaptive Capabilities |
| title_sort | blockchain solution for the internet of vehicles with better filtering and adaptive capabilities |
| topic | internet of vehicles blockchain consensus algorithm trust management model gradual acceleration environmental adaptation |
| url | https://www.mdpi.com/1424-8220/25/4/1030 |
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