ICFICE 2018
Current Result Document :
| 한글제목(Korean Title) |
Efficient relay nodes selection scheme using reinforcement learning in DTN |
| 영문제목(English Title) |
Efficient relay nodes selection scheme using reinforcement learning in DTN |
| 저자(Author) |
Yoon-Hyung Dho
Second Kang-Whan Lee
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| 원문수록처(Citation) |
VOL 10 NO. 01 PP. 0304 ~ 0305 (2018. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This paper proposes a method for selecting efficient relay nodes in Delay Tolerant Network(DTN) using reinforcement learning. DTN is a proposed network structure for communication in unstable end-to-end connections such as deep space, deep sea, and disaster areas. DTN has a Carry-and-Forward routing structure that selects a relay node and forwards the message. Therefore, it is important to select an efficient relay node in order to improve the performance of the DTN and many studies being conducted. The existing DTN routing protocols use node and environment information to select an efficient relay node. However, in the existing method, the relay node is determined by the limited information and the formula, so it was difficult to adapt to the diverse and rapidly changing environment to which the actual DTN was applied. To solve this problem, this paper applies reinforcement learning to the node selection process of the relay node.
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| 키워드(Keyword) |
Delay Tolerant Network
Reinforcement learning
Routing protocol
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| 파일첨부 |
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