Intelligent Maritime Networking With Edge Services and Computing Capability

被引:33
|
作者
Su, Xin [1 ]
Meng, Leilei [1 ]
Huang, Jun [2 ]
机构
[1] Hohai Univ, Coll IOT Engn, Changzhou 213022, Jiangsu, Peoples R China
[2] Chongqing Univ Posts & Telecom, Sch Comp Sci, Chongqing 400065, Peoples R China
基金
中国国家自然科学基金;
关键词
Manganese; Vehicular ad hoc networks; Marine vehicles; Road transportation; Computational modeling; Edge computing; Connectivity; edge computing; maritime network; SANET; URLLC; OPTIMIZATION; MODEL;
D O I
10.1109/TVT.2020.3015751
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Maritime networks (MNs) typically cover tens to hundreds of kilometers, which can perform global oceanic observations via the support of maritime low-latency applications. However, current research on MNs with 5G related robust network optimization technologies, has not been progressed in line with the rapid development of terrestrial communication networks. To explore the oceanic informatics resources in the 5G or upcoming 6G eras, this work provides a method for intelligent maritime networking by conducting analysis, and investigation on maritime communication scenarios, probabilistic ship density, and MN connectivity. The edge-based MN services, and the edge computation capability based on a cognitive big data platform are thoroughly analyzed. The developed theory is extensively simulated, the real-world-trace based results further confirm the validity of the proposed method.
引用
收藏
页码:13606 / 13620
页数:15
相关论文
共 50 条
  • [21] Convergence of Edge Computing and Next Generation Networking
    Zeng, Deze
    Min, Geyong
    He, Qiang
    Guo, Song
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2021, 14 (06) : 3891 - 3894
  • [22] Edge Computing and Networking: A Survey on Infrastructures and Applications
    Zhao, Yongli
    Wang, Wei
    Li, Yajie
    Meixner, Carlos Colman
    Tornatore, Massimo
    Zhang, Jie
    IEEE ACCESS, 2019, 7 : 101213 - 101230
  • [23] FUTURE TRENDS IN FOG/EDGE COMPUTING AND NETWORKING
    Wei, Hung-Yu
    Zhang, Tao
    Hsing, T. Russell
    Zuckerman, Doug
    IEEE COMMUNICATIONS MAGAZINE, 2023, 61 (12) : 38 - 39
  • [24] Convergence of Edge Computing and Next Generation Networking
    Deze Zeng
    Geyong Min
    Qiang He
    Song Guo
    Peer-to-Peer Networking and Applications, 2021, 14 : 3891 - 3894
  • [25] Intelligent Microsystem for Sound Event Recognition in Edge Computing Using End-to-End Mesh Networking
    Hou, Lulu
    Duan, Wenrui
    Xuan, Guozhe
    Xiao, Shanpeng
    Li, Yuan
    Li, Yizheng
    Zhao, Jiahao
    SENSORS, 2023, 23 (07)
  • [26] Elastic Services for Edge Computing
    Furst, Jonathan
    Argerich, Mauricio Fadel
    Cheng, Bin
    Papageorgiou, Apostolos
    2018 14TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM), 2018, : 358 - 362
  • [27] Intelligent transformation of financial services of agricultural cooperatives based on edge computing and deep learning
    Zhongchen, Ge
    Jie, Han
    Chen, Cai
    SOFT COMPUTING, 2023,
  • [28] CUE: An Intelligent Edge Computing Framework
    Yang, Boran
    Wu, Dapeng
    Wang, Ruyan
    IEEE NETWORK, 2019, 33 (03): : 18 - 25
  • [29] Intelligent Filtering Tuning in Edge Computing
    Hernandez-Gonzalez, Nieves G.
    Montiel-Caminos, Juan
    Sosa, Javier
    Montiel-Nelson, Juan A.
    2024 IEEE 67TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, MWSCAS 2024, 2024, : 1065 - 1069
  • [30] Model of Cloud-Edge Cooperative Service for Maritime Edge Computing
    Yue G.-X.
    Dai Y.-S.
    Yang X.-H.
    Yang Z.-M.
    Ma B.-L.
    Liu J.-H.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2021, 49 (12): : 2407 - 2420