Solving the last mile problem in logistics: A mobile edge computing and blockchain‐based unmanned aerial vehicle delivery system

Author:

Li Xuejun1,Gong Lina1,Liu Xiao2ORCID,Jiang Frank2ORCID,Shi Wenyu3,Fan Lingmin1,Gao Han1,Li Rui2,Xu Jia1

Affiliation:

1. School of Computer Science and Technology Anhui University Hefei China

2. School of Information Technology Deakin University Geelong Australia

3. Institute of Information Engineering Anhui Xinhua University Hefei China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference39 articles.

1. Energy and delay aware task assignment mechanism for UAV‐based IoT platform;Motlagh N;IEEE Internet Things J,2019

2. Blockchain‐enabled workflow operating system for logistics resources sharing in E‐commerce logistics real estate service;Li M;Comput Indus Eng,2019

3. On workflow aware location-based service composition for personal trip planning

4. MTLM: a multi‐task learning model for travel time estimation;Xu S;GeoInformatica,2020

5. Amazon.Amazon Prime Air; 2017.https://www.amazon.com/Amazon‐Prime‐Air/b?node=8037720011. Accessed March 10 2017.

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