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An efficient computational offloading method using deep reinforcement learning in edge-end-cloud
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DOI：10.1016/j.adhoc.2025.103941.png)
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Abstract
En 中文
• We propose a pre-stage algorithm to optimize thresholds for computation offloading. • We propose a DRL offloading strategy with DQN and Q-learning for edge-end-cloud systems. • We integrate blockchain to validate parameters and secure edge-end-cloud data flow.
Keywords:
threshold optimization
computation offloading
deep reinforcement learning
blockchain security
edge-end-cloud systems
Journal
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4.8
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