Offloading Methodologies for Energy consumption in Mobile Edge Computing
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9591657/9591622/09591883.pdf?arnumber=9591883
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Computation Cost-Driven Offloading Strategy Based on Reinforcement Learning for Consumer Devices;IEEE Transactions on Consumer Electronics;2024-02
2. Deep Reinforcement Learning algorithms for Low Latency Edge Computing Systems;2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP);2023-03-18
3. An efficient task offloading and resource allocation using dynamic arithmetic optimized double deep Q-network in cloud edge platform;Peer-to-Peer Networking and Applications;2023-02-24
4. Energy Minimization Partial Task Offloading With Joint Dynamic Voltage Scaling and Transmission Power Control in Fog Computing;IEEE Internet of Things Journal;2023
5. DQN-enabled content caching and quantum ant colony-based computation offloading in MEC;Applied Soft Computing;2023-01
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