- A Collision-Protected Multihop Frame Transmission Method with Wireless LAN Communication Supported by Longer-Distance Wireless Communication
Ryosuke Nagayoshi, Yosuke Tanigawa and Hideki Tode (Osaka Prefecture University, Japan)
- LoRaDRL: Deep Reinforcement Learning Based Adaptive PHY Layer Transmission Parameters Selection for LoRaWAN
Inaam Ilahi (Information Technology University (ITU), Lahore, Punjab, Pakistan); Muhammad Usama (Information Technology University (ITU), Punjab, Lahore, Pakistan); Muhammad Omer Farooq (Carleton University, Canada); Muhammad Umar Janjua (Information Technology University, Pakistan); Junaid Qadir (Information Technology University (ITU), Punjab, Lahore, Pakistan)
- Concurrent Transmission Based Data Sharing with Run-Time Variation of TDMA Schedule
Madhav Tummala (Indian Institute of Technology, Bhubaneswar, India); Sudipta Saha (Indian Institute of Technology Bhubaneswar, India)
- ARdeep: Adaptive and Reliable Routing Protocol for Mobile Robotic Networks with Deep Reinforcement Learning
Jianmin Liu (Institute of Computing Technology Chinese Academy of Sciences, China); Qi Wang, ChenTao He and Yongjun Xu (Institute of Computing Technology, Chinese Academy of Sciences, China)
- Rate Adaptation Techniques Using Contextual Bandit Approach for Mobile Wireless LAN Users
Arkadeep Sen and Krishna M. Sivalingam (Indian Institute of Technology Madras, India)