A Reservoir Computing-Based Distributed Trust Sharing Provisioning for Internet of Vehicle

被引:0
|
作者
Jing, Tao [1 ]
Liu, Yue [1 ]
Wang, Xiaoxuan [1 ]
Gao, Qinghe [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1109/ITSC55140.2022.9922018
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The ultimate goal of Internet of Vehicles (IoV) is to enhance the safety, intelligence, and efficiency of traffic systems. However, dynamic network topology, high speed, and exposed communication links inevitably pose looming threats to vehicle safety. Thus, establishing trust sharing mechanism between traffic entities is pivotal to safeguarding the safety of IoV. This paper proposes a distributed trust sharing provisioning utilizing Reservoir Computing-based path predicting algorithm. In this paper, Echo State Network and Deep Q-Network are novelly combined to realize trust information sharing in Partially Observable Markov Decision Process (POMDP) scenarios. In addition, in DRL state space design, we consider the current trust assessment results of different clusters in front of the vehicle to maximize the protection of vehicle network security. Finally, extensive simulations are conducted to prove that the proposed scheme has excellent convergence speed, verifying the feasibility and effectiveness.
引用
收藏
页码:3038 / 3043
页数:6
相关论文
共 50 条
  • [1] Deep Echo State Q-Network Aided Trust Sharing Provisioning for Internet of Vehicle
    Jing, Tao
    Liu, Yue
    Wang, Xiaoxuan
    Gao, Qinghe
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (03) : 3993 - 4004
  • [2] Analytical offloading design for mobile edge computing-based smart internet of vehicle
    Jinrong Lu
    Lunyuan Chen
    Junjuan Xia
    Fusheng Zhu
    Maobin Tang
    Chengyuan Fan
    Jiangtao Ou
    EURASIP Journal on Advances in Signal Processing, 2022
  • [3] Deployment and Dimensioning of Fog Computing-Based Internet of Vehicle Infrastructure for Autonomous Driving
    Yu, Cunqian
    Lin, Bin
    Guo, Ping
    Zhang, Wei
    Li, Sen
    He, Rongxi
    IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (01): : 149 - 160
  • [4] Analytical offloading design for mobile edge computing-based smart internet of vehicle
    Lu, Jinrong
    Chen, Lunyuan
    Xia, Junjuan
    Zhu, Fusheng
    Tang, Maobin
    Fan, Chengyuan
    Ou, Jiangtao
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2022, 2022 (01)
  • [5] Soft computing-based computational intelligent for reservoir characterization
    Nikravesh, M
    EXPERT SYSTEMS WITH APPLICATIONS, 2004, 26 (01) : 19 - 38
  • [6] Reservoir computing-based advance warning of extreme events
    Wang, Tao
    Zhou, Hanxu
    Fang, Qing
    Han, Yanan
    Guo, Xingxing
    Zhang, Yahui
    Qian, Chao
    Chen, Hongsheng
    Barland, Stephane
    Xiang, Shuiying
    Lippi, Gian Luca
    CHAOS SOLITONS & FRACTALS, 2024, 181
  • [7] Research on task-offloading decision mechanism in mobile edge computing-based Internet of Vehicle
    Cheng, Jun
    Guan, Dejun
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2021, 2021 (01)
  • [8] Research on task-offloading decision mechanism in mobile edge computing-based Internet of Vehicle
    Jun Cheng
    Dejun Guan
    EURASIP Journal on Wireless Communications and Networking, 2021
  • [9] In-Vehicle Computing-based BSM Reuse Model
    Benaissa, Khireddine
    Bitam, Salim
    Mellouk, Abdelhamid
    2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [10] Stochastic Computing-based on-chip Training Circuitry for Reservoir Computing Systems
    Galan, Fabio
    Font-Rossello, Joan
    Roca, Miquel
    Rossello, Josep L.
    2023 38TH CONFERENCE ON DESIGN OF CIRCUITS AND INTEGRATED SYSTEMS, DCIS, 2023,