메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

Dynamic Routing Path Selection Algorithm Using Reinforcement Learning in Wireless Ad-Hoc Networks
Recommendations
Search
Questions

논문 기본 정보

Type
Academic journal
Author
Qin Yang (Inha University) Sang-Jo Yoo (Inha University)
Journal
Korea Institute Of Communication Sciences The Journal of Korean Institute of Communications and Information Sciences Vol.43 No.7 KCI Accredited Journals SCOPUS
Published
2018.7
Pages
1,227 - 1,235 (9page)
DOI
10.7840/kics.2018.43.7.1227

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Dynamic Routing Path Selection Algorithm Using Reinforcement Learning in Wireless Ad-Hoc Networks
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
This paper proposes a routing protocol scheme using reinforcement learning which supports dynamic wireless communication conditions in ad-hoc networks. The aim of this scheme is to maximize the utility value of routing path in terms of transmission rate, residual energy and end-to-end delay. Q-learning based routing path selecting algorithm is proposed with consideration of packet successful transmission ratio. Each node represents a state and the next packet transmission path link between nodes is called an action in Q-learning. A reward is given to visited path when a packet reaches to destination based on reliability of packet transmission and energy consumption. The simulation results show that our method can obtain dynamic environmental adaptivity and high utility in various communication situations.
#Q-learning #ad-hoc networks #node routing #quality of service #dynamic environment

Contents

요약
ABSTRACT
Ⅰ. 서론
Ⅱ. Related Works
Ⅲ. Q-learning for Ad-hoc Network Routing
Ⅳ. Simulation Results
Ⅴ. Conclusions
References

References (21)

Add References
G. Gankhuyag, A. P. Shrestha, and S.-J. Yoo, “Robust and reliable predictive routing strategy for flying ad-hoc networks,” IEEE Access, vol. 5, pp. 643-654, Jan. 2017. M. A. Alsheikh, S. Lin, and D. Niyato, “Machine learning in wireless sensor networks: algorithm, strategies, and applications,” IEEE Commun. Surveys & Tuts., vol. 16, no. 4, pp. 1996-2018, Apr. 2014. C. Guestrin, P. Bodik, R. Thibaux, M. Pashkin, and S. Madden, “Distributed regression: an efficient framework for modeling sensor network data,” in Proc. 3rd Int. Symp. Inf. Process. Sensor Netw., pp. 1-10, Apr. 2004. J. Barbancho, C. Leon, F. Molina, and A. Barbancho, “A new QoS routing algorithm based on self-organizing maps for wireless sensor networks,” Telecommum. Syst., vol. 36, no. 1-3, pp. 73-83, Nov. 2007. C. Watkins and P. Dayan, “Q-learning,” Machine Learning, vol. 8, no. 3/4, pp. 279-292, May 1992.

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

A study on network based long distance data interworking system using multiple unmanned vehicle
Hyeon-seo Son ,  Sung-chan Chio ,  Jong-hong Pa and others 3 한국정보통신학회 종합학술대회 논문집 2022 .10
A Study on Improving Farmland Management System Based on the Public Concept of Land
Chae Kwang-seok ,  Kim Booyoung 한국농촌경제연구원 기본연구보고서 2019 .10
The effect of Universal child benefit on income and poverty among families with a child
Kang ,  Ji Young Korean Journal of Social Welfare 2020 .02
A Study on the Creating Culture and the Literary culture based on Miryang Arirang – Focusing on the acceptance of Miryang Arirang in modern poetry and popular songs -
Pa ,  k ,  Kyung-su The Korean Folk song 2018 .08
The Issues of Regional Classification and Music Awareness of Popular Folksongs – focused on some northwestern and central region popular folksongs -
Insuk Kim The Korean Folk song 2018 .08

Recently viewed articles

사료시장
대한양계협회1975
 Design of High-Speed LSM Rotary Type Testing Machine in Consideration of Mechanical Strength
Hyun-Soo Seol, Eung-Seok Park, Ju Lee 외 1명The Korean Institute of Electrical Engineers2015.05

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2018-567-003342135