Secrecy Energy Efficiency Enhancement in UAV-Assisted MEC System

A secrecy energy efficiency optimization scheme for a multifunctional unmanned aerial vehicle (UAV) assisted mobile edge computing system is proposed to solve the computing power and security issues in the Internet-of-Things scenario. The UAV can switch roles between a computing UAV and jamming UAV...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 23; no. 2; p. 723
Main Authors: Miao, Jiansong, Chen, Haoqiang, Li, Hairui, Bai, Shanling
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 08.01.2023
MDPI
Subjects:
Algorithms
Benchmarking
Communications systems
Computer Simulation
Conservation of Energy Resources
convex optimization algorithm
Energy consumption
Energy efficiency
mobile edge computing
Optimization
Quality of service
Scheduling
secrecy energy efficiency
Sensors
Unmanned Aerial Devices
unmanned aerial vehicle communication
Unmanned aerial vehicles
mobile edge computing
unmanned aerial vehicle communication
convex optimization algorithm
secrecy energy efficiency
ISSN:1424-8220, 1424-8220
Online Access:Get full text
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Summary:A secrecy energy efficiency optimization scheme for a multifunctional unmanned aerial vehicle (UAV) assisted mobile edge computing system is proposed to solve the computing power and security issues in the Internet-of-Things scenario. The UAV can switch roles between a computing UAV and jamming UAV based on the channel conditions. To ensure the security of the content and the system energy efficiency in the process of offloading computing tasks, the UAV trajectory, uplink transmit power, user scheduling, and offload task are jointly optimized, and an updated-rate assisted block coordinate descent (BCD) algorithm is used. Simulation results show that this scheme efficiently improves the secrecy performance and energy efficiency of the system. Compared with the benchmark scheme, the secrecy energy efficiency of the scheme is improved by 38.5%.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s23020723