A Reliable Delivery Logistics System Based on the Collaboration of UAVs and Vehicles

被引:6
作者
Li, Hanxue [1 ]
Zhu, Shuaiqi [2 ]
Tolba, Amr [3 ]
Liu, Ziyi [1 ]
Wen, Wu [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
[2] Dalian Univ Technol, Sch Software, Dalian 116024, Peoples R China
[3] King Saud Univ, Community Coll, Dept Comp Sci, Riyadh 11437, Saudi Arabia
关键词
blockchain; UAV-vehicle collaboration; reliable delivery; logistics distribution; OPTIMIZATION; BLOCKCHAIN; MANAGEMENT; INTERNET;
D O I
10.3390/su151712720
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, land-air collaborative logistics delivery is a promising distribution method. It combines the flexibility of unmanned aerial vehicles (UAVs) with the high payload capacity of vehicles, expanding the service range of UAVs while reducing carbon emissions. However, most existing research has focused on path planning and resource allocation for either UAVs or vehicles alone. Therefore, to address the shortcomings of the current research, this paper proposes an intelligent land-air collaboration delivery algorithm for trajectory optimization and resource scheduling. Subsequently, this paper develops a land-air collaboration reliable delivery logistics distribution system, showcasing the driving routes of vehicles and UAVs. Meanwhile, the mode of UAV-vehicle collaboration not only saves operating costs compared to traditional logistics delivery but also achieves energy conservation and emission reduction goals. During the specific design and implementation process of this platform, blockchain technology is integrated into the logistics delivery service to ensure data security and prevent tampering, making the system more efficient and reliable. Finally, through testing and verification of the system's functionalities, its completeness is demonstrated.
引用
收藏
页数:22
相关论文
共 44 条
  • [1] Multiple UAVs as Relays: Multi-Hop Single Link Versus Multiple Dual-Hop Links
    Chen, Yunfei
    Zhao, Nan
    Ding, Zhiguo
    Alouini, Mohamed-Slim
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (09) : 6348 - 6359
  • [2] Learning-based user association and dynamic resource allocation in multi-connectivity enabled unmanned aerial vehicle networks
    Cheng, Zhipeng
    Liwang, Minghui
    Chen, Ning
    Huang, Lianfen
    Guizani, Nadra
    Du, Xiaojiang
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2024, 10 (01) : 53 - 62
  • [3] A taxonomy for planning and designing smart mobility services
    Cledou, Guillermina
    Estevez, Elsa
    Barbosa, Luis Soares
    [J]. GOVERNMENT INFORMATION QUARTERLY, 2018, 35 (01) : 61 - 76
  • [4] Synchronized Truck and Drone Routing in Package Delivery Logistics
    Das, Dyutimoy Nirupam
    Sewani, Rohan
    Wang, Junwei
    Tiwari, Manoj Kumar
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (09) : 5772 - 5782
  • [5] Learning-based joint UAV trajectory and power allocation optimization for secure IoT networks
    Deng, Dan
    Li, Xingwang
    Menon, Varun
    Piran, Md Jalil
    Chen, Hui
    Jan, Mian Ahmad
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2022, 8 (04) : 415 - 421
  • [6] A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance
    Guo, Lingling
    Chen, Jingjing
    Li, Shihan
    Li, Yafei
    Lu, Jinzhi
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2022, 8 (04) : 576 - 587
  • [7] Hassn HAH, 2016, INT J TECHNOL, V7
  • [8] Reliable Path Planning for Drone Delivery Using a Stochastic Time-Dependent Public Transportation Network
    Huang, Hailong
    Savkin, Andrey, V
    Huang, Chao
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (08) : 4941 - 4950
  • [9] Stochastic Task Scheduling in UAV-Based Intelligent On-Demand Meal Delivery System
    Huang, Haiping
    Hu, Chengxi
    Zhu, Jie
    Wu, Min
    Malekian, Reza
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (08) : 13040 - 13054
  • [10] The Flying Warehouse Delivery System: A Quantitative Approach for the Optimal Operation Policy of Airborne Fulfillment Center
    Jeong, Ho Young
    Song, Byung Duk
    Lee, Seokcheon
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (12) : 7521 - 7530