Li Fei, Guo Ying, Wang Ziqi, Chen Yuhang, Gu Jingyun
College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China.
Sensors (Basel). 2025 Mar 18;25(6):1899. doi: 10.3390/s25061899.
The transmission of marine data is an urgent global challenge. Due to the particularity of underwater environments, the efficiency and reliability of data transmission in underwater acoustic communication are severely restricted, especially in long-distance and large-scale data transmission situations. This study proposes a dual-link data transmission method based on the Internet of Vessels, utilizing the powerful communication capabilities and flexibility of ships as relay nodes for data transmission. By constructing both above-water and underwater dual-link collaborative transmission, the method effectively improves data transmission rates and stability. Additionally, a spatial crowdsourcing allocation algorithm based on Bayesian reputation selection is designed to assess the capability of ships to complete tasks, and an integrated scoring function is used to select the optimal relay ship, solving the problems of relay ship selection and transmission path selection in the data transmission process. Furthermore, this study introduces an incentive mechanism for data transmission based on the Internet of Vessels, which maximizes the stability of data transmission. Experimental results show that the dual-link data transmission method of the Internet of Vessels significantly improves the reliability and transmission speed of underwater communication, providing a novel and practical solution for long-distance, large-volume data transmission in maritime environments.
海洋数据传输是一项紧迫的全球挑战。由于水下环境的特殊性,水声通信中数据传输的效率和可靠性受到严重限制,尤其是在长距离和大规模数据传输情况下。本研究提出一种基于船舶物联网的双链路数据传输方法,利用船舶强大的通信能力和灵活性作为数据传输的中继节点。通过构建水上和水下双链路协同传输,该方法有效提高了数据传输速率和稳定性。此外,设计了一种基于贝叶斯声誉选择的空间众包分配算法来评估船舶完成任务的能力,并使用综合评分函数选择最优中继船舶,解决了数据传输过程中的中继船舶选择和传输路径选择问题。此外,本研究引入了一种基于船舶物联网的数据传输激励机制,使数据传输的稳定性最大化。实验结果表明,船舶物联网的双链路数据传输方法显著提高了水下通信的可靠性和传输速度,为海上环境中的长距离、大容量数据传输提供了一种新颖实用的解决方案。