Energy-Efficient Multi-UAV-Enabled Computation Offloading for Industrial Internet of Things via Deep Reinforcement Learning

Shuo Shi; Meng Wang; Xuemai Gu

doi:10.1007/978-3-030-69066-3_26

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Energy-Efficient Multi-UAV-Enabled Computation Offloading for Industrial Internet of Things via Deep Reinforcement Learning

Shuo Shi Meng Wang Xuemai Gu

Year: 2021 Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Pages: 295-305

DOI: 10.1007/978-3-030-69066-3_26

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Keywords:

Computer science Reinforcement learning Computation Flexibility (engineering) Benchmark (surveying) Computation offloading Quality of service Distributed computing Efficient energy use Key (lock) Internet of Things Artificial intelligence Mathematical optimization Embedded system Computer network Edge computing Algorithm Engineering Computer security

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UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Energy-Efficient Multi-UAV-Enabled Computation Offloading for Industrial Internet of Things via Deep Reinforcement Learning

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