Multi-Access Edge Computing for UAVs Cooperation in Power System-Reference-Cited by-同舟云学术

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Multi-Access Edge Computing for UAVs Cooperation in Power System

Published:2022-10-03 Issue: Volume: Page:
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Container-title:2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )
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Author:

Wang Wendi¹,Zhu Hong¹,Zhou Dongxu¹,Wei Lei²,Xu Yang²,Hu Yang³,Wang Haizhou⁴

Affiliation:

1. State Grid Jiangsu Electric Power CO., Ltd., Nanjing Power Supply Company,Nanjing,China

2. State Grid Jiangsu Electric Power CO., Ltd.,Nanjing,China

3. NARI Information & Communication Technology Co. Ltd.,Nanjing,China

4. Nanjing University of Posts and Telecommunications,Nanjing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9929429/9929329/09929694.pdf?arnumber=9929694

Reference10 articles.

1. Prioritized Traffic Shaping for Low-latency MEC Flows in MEC-enabled Cellular Networks

2. Service-Oriented MEC Applications Placement in a Federated Edge Cloud Architecture

3. A simulated annealing-particle swarm optimization algorithm for UAV multi-target path planning

4. Novel Workload Balancing Method for UAV-based Edge Cloud Computing Systems with Handover

5. Novel Computation and Communication Resources Allocation Using Relay Communications in UAV-Mounted Cloudlet Systems

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