Green Resource Allocation Based on Deep Reinforcement Learning in Content-Centric IoT
Xiaoming He(Hohai University), Song Guo(Hong Kong Polytechnic University), Toshiaki Miyazaki(University of Aizu), Huawei Huang(Hong Kong Polytechnic University), Kun Wang(Nanjing University of Posts and Telecommunications), Yixuan Wang(California Institute of Technology)
Cited by 210
Related Papers
Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective
|IEEE Communications Magazine|2016|429
Strategic Honeypot Game Model for Distributed Denial of Service Attacks in the Smart Grid
|IEEE Transactions on Smart Grid|2017|213
Big Data Privacy Preserving in Multi-Access Edge Computing for Heterogeneous Internet of Things
|IEEE Communications Magazine|2018|182
Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things
|IEEE Internet of Things Journal|2020|180
Wireless Big Data Computing in Smart Grid
|IEEE Wireless Communications|2017|170