UAV-Assisted Data Offloading for Smart Container in Offshore Maritime Communications

作     者：Yanpeng Dai Bin Lin Yudi Che Ling Lyu Yanpeng Dai;Bin Lin;Yudi Che;Ling Lyu

作者机构：School of Information Science and TechnologyDalian Maritime UniversityDalian 116026China Network Communication Research CentrePeng Cheng LaboratoryShenzhen 518052China State Key Laboratory of Integrated Services NetworksXidian UniversityShaanxi 710071China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2022年第19卷第1期

页      面：153-165页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 082503[工学-航空宇航制造工程] 081001[工学-通信与信息系统] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported in part by National Key Research and Development Program of China under Grant 2019YFE0111600 in part by National Natural Science Foundation of China under Grants 62101089, 62002042, 61971083, and 51939001 in part by China Postdoctoral Science Foundation under Grants 2021M700655 and 2021M690022 in part by Cooperative Scientific Research Project, Chunhui Program of Ministry of Education, P. R. China in part by LiaoNing Revitalization Talents Program under Grant XLYC2002078 in part by Dalian Science and Technology Innovation Fund under Grant 2019J11CY015 in part by the Fundamental Research Funds for Central Universities under Grants 3132021237 and 3132021223 

主　　题：data offloading smart container unmanned aerial vehicle maritime Internet of Things 

摘      要：Smart containers have been extensively applied in the maritime industry by embracing the Internet of Things to realize container status monitoring and data offloading without human ***, the offloading rate and delay in the offshore region are limited by the coverage of the onshore base station(BS). In this paper, we investigate the unmanned aerial vehicle(UAV)-assisted data offloading for smart containers in offshore maritime communications where the UAV is as a relay node between smart containers and onshore BS. We first consider the mobility of container vessel in the offshore region and establish a UAV-assisted data offloading model. Based on this model, a data offloading algorithm is proposed to reduce the average offloading delay under data-size requirements and available energy constraints of smart containers. Specifically, the convex-concave procedure is used to update time-slot assignment,offloading approach selection, and power allocation in an iterative manner. Simulation results show that the proposed algorithm can efficiently reduce average offloading delay and increase offloading success ***, it is shown that the UAV relay cannot always bring the performance gain on offloading delay especially in the close-to-shore area, which could give an insight on the deployment of UAV relay in offshore communications.