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New paper accepted: ACM CHI 2025
We are using the Smart UAV Delivery System as a major application scenario for our research in edge computing based smart systems. The last-mile delivery problem is a key challenge in logistics which consumes a significant part of the package delivery time and cost as it is heavily rely on human delivery. Smart logistics system tries to use autonomous drones and vehicles for last-mile delivery (https://www.antwork.link/). However, current solutions are mainly cloud based where the cloud datacentre will become a performance bottleneck when there are a large number of UAVs flying in the sky and requesting constant services. Therefore, to meet the future demand, we are investigating the solution of edge computing based Smart UAV Delivery System. Specifically, we are interested in the following topics:
System architecture and the development of the prototype system
Resource management, task scheduling and service migration
Edge intelligence
Security and privacy issues
System Architecture and Prototype:
The prototpye system named UAV-EXPRESS is based on the edge computing architecture.
We have also proposed a MEC and Blockchain based data and computation management framework.
Resources:
Github for UAV Delivery System: https://github.com/ISEC-AHU/UAV-EXPRESS
Papers
J. Xu, X. Liu, W. Pan, X. Li, A. yao, Y. Yang, EXPRESS 2.0: An Intelligent Service Management Framework for AIoT Systems in the Edge, 38th IEEE/ACM International Conference on Automated Software Engineering (ASE23 Demo Track), accepted on 7 July 2023. (CORE A*)
J. Xu, X. Liu, X. Li, L. Zhang, Y. Yang, EXPRESS: An Energy-Efficient and Secure Framework for Mobile Edge Computing and Blockchain based Smart Systems, 35th IEEE/ACM International Conference on Automated Software Engineering (ASE20 Demo Track), accepted on 04 July 2020. (CORE A*) Video URL: https://youtu.be/r3U1iU8tSmk, https://ieeexplore.ieee.org/document/9286009
X. Li, L. Gong, X. Liu, F. Jiang, W. Shi, L. Fan, H. Gao, R. Li, J. Xu, Solving the Last Mile Problem in Logistics: A Mobile Edge Computing and Blockchain based UAV Delivery System, Concurrency and Computation: Practice and Experience, https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.6068.
MEC-based Smart UAV Delivery System Architecture
MEC-based Smart UAV Delivery System Architecture
MEC and Blockchain based Data and Computation Management Framework
MEC and Blockchain based Data and Computation Management Framework
Resource management, task scheduling and service migration
Resource management of heterogenous computing and communication resources across the layers of the edge computing environment
Computation offloading and workflow scheduling
Efficient and proactive service migration
Papers:
J. Xu, X. Liu, A. Neiat, L. Chu, X. Li and Y. Yang，A Holistic and Hybrid Service Selection Strategy for MEC-based UAV Last-mile Delivery Systems, IEEE Transactions on Services Computing, accepted on 19 August 2024. (SJR Q1)
J. Xu, X. Liu, J. Jin, W. Pan, X. Li and Y. Yang, Holistic Service Provisioning in a UAV-UGV Integrated Network for Last-Mile Delivery, IEEE Transactions on Network and Service Management, accepted on 17 October 2024. (SJR Q1)
J. Xu, X. Liu, X. Li, L. Zhang, J. Jin, and Y. Yang, Energy-aware Computation Management Strategy for Smart Logistic System with MEC, IEEE Internt of Things Journal, accepted on 16 September 2021. (SCI Q1)
R. Li, X. Li, J. Xu, F. Jiang, Z. Jia, D. Shao, L. Pan, X. Liu ,Energy-Aware Decision-Making for Dynamic Task Migration in MEC based UAV Delivery System, Concurrency and Computation: Practice and Experience, accepted on 06 November 2020.
L. Chu, X. Li, J. Xu, A. Ghari Neiat and X. Liu, A Holistic Service Provision Strategy for Drone-as-a-Service in MEC-based UAV Delivery, 2021 IEEE International Conference on Web Services (ICWS2021), accepted on 9 July 2021. (CORE A)
Edge Intelligence
Running AI applications (e.g. model training and inference) at the edge to support UAV delivery service
Fully utilise the computing resources on the end device, the edge server and the cloud server to optimise the Quality of Service such as response time and energy consumption
Papers:
C. Zhang, X. Liu, M. Xiang, A. Yao, X. Fan and G. Li, Fed4ReID: Federated Learning with Data Augmentation for Person Re-identification Service in Edge Computing, 2023 IEEE International Conference on Web Services (ICWS2023), accepted on 09 May 2023.
H. Luo, T. Chen, X. Li, S. Li, C. Zhang, G. Zhao, X. Liu, KeepEdge: A Knowledge Distillation Empowered Edge Intelligence Framework for Visual Assisted Positioning in UAV Delivery, IEEE Transactions on Mobile Computing, accepted on 4 March 2022. https://ieeexplore.ieee.org/document/9732222 (CORE A*)
C. Zhang, X. Liu, J. Xu, T. Chen, G. Li, F. Jiang and X. Li, An Edge based Federated Learning Framework for Person Re-identification in UAV Delivery Service, 2021 IEEE International Conference on Web Services (ICWS2021), accepted on 9 July 2021. (CORE A)
H. Gao, Y. Xu, X. Liu, J. Xu, T. Chen, B. Zhou, R. Li, X. Li, Edge4Sys: A Device-Edge Collaborative Framework for MEC based Smart Systems, 35th IEEE/ACM International Conference on Automated Software Engineering (Late Breaking Results Track), accepted on 13 August 2020. (CORE A*) - Distinguished LBR Paper Award
Security and Privacy
Authentication of end devices and users in the UAV system
Data privacy protection in business process and the use of AI models
Papers:
X. Chen, X. Liu, F. Jiang, A. Yao, J. Xu, H. Zhang, X. Wu and X. Li, Bio-CEC: A Secure and Efficient Cloud-Edge Collaborative Biometric System using Cancelable Biometrics, IEEE International Conference on Web Services (ICWS 2024), accepted on 14 May 2024.
R. Li, H. Liu, G. Lou, X. Zheng, X. Liu, T. Y. Chen, Metamorphic Testing on Multi-module UAV Systems, 36th IEEE/ACM International Conference on Automated Software Engineering: Late-Breaking Results Track (ASE2021 LBR track), accepted on 20 August 2021. (CORE A*)
A. Yao, F. Jiang, X. Li, C. Dong, J. Xu, Y. Xu, G. Li, X. Liu, A Novel Security Framework for Edge Computing based UAV Delivery System, 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2021), accepted on 7 June 2021.
C. Dong, F. Jiang, X. Li, A. Yao, G. Li and X. Liu, A Blockchain-aided Self-Sovereign Identity Framework for Edge-based UAV Delivery System, 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021 Poster Track), accepted on 27/02/2021. (CORE A) https://youtu.be/wZR46ZRp3Lo
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