Holistic Service Provisioning in a UAV-UGV Integrated Network for Last-Mile Delivery

Effective last-mile delivery is pivotal in smart logistics system. While existing delivery network architectures, such as Drone-as-a-Service (DaaS), are capable of enhancing order delivery effectiveness, they often fall short in provisioning diverse delivery services. Furthermore, DaaS-based last-mile delivery systems face challenges from limited payload capacity and range. In this paper, we propose a UAV-UGV integrated network architecture based on Multi-access Edge Computing (MEC), denoted as DaaS+, encompassing the diverse delivery services from both Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV) for last-mile delivery. To optimize the effectiveness in the delivery process, the intricate overhead and constraints of heterogeneous delivery services are taken into the full consideration. Specifically, we present an energy-aware service model for the UAV-UGV integrated network that considers the deadline constraints of services. Additionally, we address issues of service unavailability during service provisioning. To identify optimal service provisioning plans, we design a novel Energy-Aware Holistic Service Provisioning Mechanism based on Particle Swarm Optimization (ES-PSO), which minimizes delivery energy consumption while adhering to service deadline constraints. Experimental results substantiate the effectiveness of our proposed solution, demonstrating its ability to generate superior service provisioning plans and significantly reduce total delivery energy consumption.

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Publication Details

Journal
IEEE Transactions on Network and Service Management
Published
2024-10-28
DOI
https://doi.org/10.1109/tnsm.2024.3487357
Citations
9
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
11.69

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article

Holistic Service Provisioning in a UAV-UGV Integrated Network for Last-Mile Delivery

Xuejun Li, Yun Yang, Xu Jia, Xiao Liu et al.
9 citations
IEEE Transactions on Network and Service Management
UAV Applications and Optimization
11.69
article

Holistic Service Provisioning in a UAV-UGV Integrated Network for Last-Mile Delivery

Xuejun Li, Yun Yang, Xu Jia, Xiao Liu, Jiong Jin, Wuzhen Pan
article en
9 citations

Abstract

Effective last-mile delivery is pivotal in smart logistics system. While existing delivery network architectures, such as Drone-as-a-Service (DaaS), are capable of enhancing order delivery effectiveness, they often fall short in provisioning diverse delivery services. Furthermore, DaaS-based last-mile delivery systems face challenges from limited payload capacity and range. In this paper, we propose a UAV-UGV integrated network architecture based on Multi-access Edge Computing (MEC), denoted as DaaS+, encompassing the diverse delivery services from both Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV) for last-mile delivery. To optimize the effectiveness in the delivery process, the intricate overhead and constraints of heterogeneous delivery services are taken into the full consideration. Specifically, we present an energy-aware service model for the UAV-UGV integrated network that considers the deadline constraints of services. Additionally, we address issues of service unavailability during service provisioning. To identify optimal service provisioning plans, we design a novel Energy-Aware Holistic Service Provisioning Mechanism based on Particle Swarm Optimization (ES-PSO), which minimizes delivery energy consumption while adhering to service deadline constraints. Experimental results substantiate the effectiveness of our proposed solution, demonstrating its ability to generate superior service provisioning plans and significantly reduce total delivery energy consumption.

IEEE Transactions on Network and Service ManagementVol. 22(1)
Anhui University (CN), Deakin University (AU), Swinburne University of Technology (AU)
Natural Science Foundation for Young Scientists of Shanxi Province, Natural Science Foundation of Anhui Province
Openalex Percentile: Top 2%
UAV Applications and Optimization
11.69
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