Reinforcement Learning Approach for SF Allocation in LoRa Network

Shengguang Hong1; Fang Yao2; Fengyun Zhang3; Yulong Ding3; Shuang-Hua Yang4

2023

10.1109/JIOT.2023.3279429

IEEE Internet of Things Journal   影响因子和分区

2372-2541

SF allocation channel traffic equilibrium LoRa network packet collision reduction reinforcement learning local execution

SCI ; EI

其他

WOS:001081924500049

20232314198386

Internet of things ; MESH networking ; Packet networks

Computer Systems and Equipment:722 ; Data Communication, Equipment and Techniques:722.3 ; Computer Software, Data Handling and Applications:723 ; Artificial Intelligence:723.4

IEEE

1.School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
2.Department of Research and Development of IoT Communication Technology, Ta-tech Company, Nanjing, China
3.Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet and the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
4.Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China

Shengguang Hong,Fang Yao,Fengyun Zhang,et al. Reinforcement Learning Approach for SF Allocation in LoRa Network[J]. IEEE Internet of Things Journal,2023,PP(99):1-1.

Shengguang Hong,Fang Yao,Fengyun Zhang,Yulong Ding,&Shuang-Hua Yang.(2023).Reinforcement Learning Approach for SF Allocation in LoRa Network.IEEE Internet of Things Journal,PP(99),1-1.

Shengguang Hong,et al."Reinforcement Learning Approach for SF Allocation in LoRa Network".IEEE Internet of Things Journal PP.99(2023):1-1.