| Paper Abstract and Keywords |
| Presentation |
2023-10-31 13:00
[Poster Presentation]
Wireless MAC Protocol Adaptation Method Considering Application Layer
Koshiro Aruga, Takeo Fujii (UEC) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, with the development of the Internet of Things (IoT), the number of devices performing wireless communication has rapidly increased. In an environment where a variety of devices are mixed, conventional general-purpose protocols cannot cope with changes in the environment and the operation of multiple applications, which causes performance degradation. Therefore, in this study, we investigate a method for autonomous protocol control and application parameter selection by learning communication logs as input values using DQN, a kind of deep reinforcement learning. In the proposed method, in a protocol based on Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA), learning is performed by collecting information such as the number of devices and the number of retransmissions, and functions such as Carrier Sense and parameters such as RTS/CTS are autonomously selected according to the environment. In addition, it adjusts the parameters of each application in an environment where multiple applications are running. It is confirmed that the proposed method can obtain high QoE compared with conventional CSMA/CA. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Deep Reinforcement Learning / DQN / Network Protocol / / / / / |
| Reference Info. |
IEICE Tech. Rep. |
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| Conference Information |
| Committee |
RISING |
| Conference Date |
2023-10-30 - 2023-10-31 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kaderu 2・7 (Sapporo) |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Cross-Field Research Association of Super-Intelligent Networking |
| Paper Information |
| Registration To |
RISING |
| Conference Code |
2023-10-RISING |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Wireless MAC Protocol Adaptation Method Considering Application Layer |
| Sub Title (in English) |
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Deep Reinforcement Learning |
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DQN |
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Network Protocol |
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| 1st Author's Name |
Koshiro Aruga |
| 1st Author's Affiliation |
The University of Electro-Communications (UEC) |
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Takeo Fujii |
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The University of Electro-Communications (UEC) |
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| Date Time |
2023-10-31 13:00:00 |
| Presentation Time |
45 minutes |
| Registration for |
RISING |
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