Research on optimal intelligent routing algorithm for IoV with machine learning and smart contract

文献类型： 外文期刊

第一作者： Ji, Baofeng

作者： Ji, Baofeng;Zhang, Mingkun;Xing, Ling;Li, Xiaoli;Ji, Baofeng;Ji, Baofeng;Zhang, Mingkun;Li, Chunguo;Han, Congzheng;Wen, Hong

作者机构：

关键词： IoV; Machine learning; Smart contract; Routing algorithm; GPSR; Relay transmission

期刊名称：DIGITAL COMMUNICATIONS AND NETWORKS （ 影响因子：7.9； 五年影响因子：7.3 ）

ISSN： 2468-5925

年卷期： 2023 年 9 卷 1 期

页码：

收录情况： SCI

摘要： The huge increase in the communication network rate has made the application fields and scenarios for vehicular ad hoc networks more abundant and diversified and proposed more requirements for the efficiency and quality of data transmission. To improve the limited communication distance and poor communication quality of the Internet of Vehicles (IoV), an optimal intelligent routing algorithm is proposed in this paper. Combined multiweight decision algorithm with the greedy perimeter stateless routing protocol, designed and evaluated standardized function for link stability. Linear additive weighting is used to optimize link stability and distance to improve the packet delivery rate of the IoV. The blockchain system is used as the storage structure for relay data, and the smart contract incentive algorithm based on machine learning is used to encourage relay vehicles to provide more communication bandwidth for data packet transmission. The proposed scheme is simulated and analyzed under different scenarios and different parameters. The experimental results demonstrate that the proposed scheme can effectively reduce the packet loss rate and improve system performance.

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