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基于区块链的无人机辅助铁路通信系统低能耗传输方法

代海波 吴天奇 梁轶群 张哲 李春国

数据采集与处理2025,Vol.40Issue(1):72-85,14.
数据采集与处理2025,Vol.40Issue(1):72-85,14.DOI:10.16337/j.1004-9037.2025.01.006

基于区块链的无人机辅助铁路通信系统低能耗传输方法

Low-Energy Transmission Method for Blockchain-Based UAV-Assisted Railway Communication System

代海波 1吴天奇 1梁轶群 2张哲 2李春国3

作者信息

  • 1. 南京邮电大学物联网学院,南京 210003
  • 2. 中国铁道科学研究院集团有限公司通信信号研究所,北京 100081
  • 3. 东南大学信息科学与工程学院,南京 210096
  • 折叠

摘要

Abstract

Unmanned aerial vehicle(UAV)-mounted base stations possess characteristics,such as rapid deployment and flexible coverage,making them an effective solution for emergency communication in railways.However,the low-altitude communication network formed by UAVs faces the constraint of the limited energy storage and the risk of data eavesdropping or tampering.This paper introduces blockchain technology into a UAV-assisted railway wireless communication system to ensure data security.Considering the constraints on transmission delay and data queue stability,this paper proposes a joint optimization problem aimed at minimizing the energy consumption of the UAV-assisted communication system and the latency of the blockchain.To solve this non-convex,mixed-integer,and time-varying stochastic optimization problem,a Lyapunov-based drift-plus-penalty method is proposed to transform the long-term stochastic optimization problem into sub-problems of multiple time slots.Deep reinforcement learning based on D3QN-TD3 is designed to solve these sub-problems,and then the optimal association strategies and power control for each time slot are obtained.Experimental results demonstrate the significant effectiveness of the proposed method in reducing the energy consumption and delay.

关键词

无人机通信网络/区块链/关联策略/深度强化学习/Lyapunov优化

Key words

UAV-enabled communication network/blockchain/association strategy/deep reinforcement learning/Lyapunov optimization

分类

交通工程

引用本文复制引用

代海波,吴天奇,梁轶群,张哲,李春国..基于区块链的无人机辅助铁路通信系统低能耗传输方法[J].数据采集与处理,2025,40(1):72-85,14.

基金项目

国家铁路智能运输系统工程技术研究中心开放课题(RITS2021KF02) (RITS2021KF02)

江苏省重点研发计划(BE2021013-3). (BE2021013-3)

数据采集与处理

OA北大核心

1004-9037

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