Energy-efficient UAV-enabled computation offloading for industrial internet of things: a deep reinforcement learning approach

Shuo Shi; Meng Wang; Shushi Gu; Zhong Zheng

doi:10.1007/s11276-021-02789-7

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Energy-efficient UAV-enabled computation offloading for industrial internet of things: a deep reinforcement learning approach

Shuo Shi Meng Wang Shushi Gu Zhong Zheng

Year: 2021 Journal: Wireless Networks Vol: 30 (5)Pages: 3921-3934 Publisher: Springer Science+Business Media

DOI: 10.1007/s11276-021-02789-7

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Keywords:

Computer science Server Reinforcement learning Computation offloading Efficient energy use Distributed computing Energy consumption Quality of service Benchmark (surveying) Cloud computing Edge computing Computer network Artificial intelligence Enhanced Data Rates for GSM Evolution

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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 UAV-enabled computation offloading for industrial internet of things: a deep reinforcement learning approach

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Citation History

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