A Reinforcement Learning Approach to Network Routing based on Adaptive Learning Rates and Route Memory

被引：0

作者：

Kavalerov, Maksim ^{[1
]}

Likhacheva, Yuliya ^{[1
]}

Shilova, Yuliya ^{[1
]}

机构：

[1] Perm Natl Res Polytech Univ, Dept Automat & Telemech, Perm, Russia

来源：

SOUTHEASTCON 2017 | 2017年

关键词：

mobile ad hoc networks; irregular grid network; routing; delivery time; learning time; overshoot; Q-routing; full echo; multi-agent modeling;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Mobile ad hoc networks may dynamically change their topology and system parameters. They require efficient routing techniques that provide reasonably low delivery times for packets even under high loads. A routing algorithm based on Full Echo Q-routing scheme is proposed. It uses adaptive learning rates and route memory to reduce instability of routing under high load conditions and improve performance in terms of overshoot and settling time of the learning.

引用

页数：6

共 50 条

[31] Adaptive Routing with Hierarchical Reinforcement Learning on Dragonfly Networks
Cai, Xuhong
Li, Mo
Shi, Xingyan
Shen, Jiayou
Wu, Chensizhu
Chen, Yi
ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, : 403 - 409
[32] Autonomous agent based on reinforcement learning and adaptive shadowed network
Jerbic, B
Grolinger, K
Vranjes, B
ARTIFICIAL INTELLIGENCE IN ENGINEERING, 1999, 13 (02): : 141 - 157
[33] Adaptive agents with reinforcement learning and internal memory
Lanzi, PL
FROM ANIMALS TO ANIMATS 6, 2000, : 333 - 342
[34] A reinforcement learning framework for the adaptive routing problem in stochastic time-dependent network
Mao, Chao
Shen, Zuojun
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 93 : 179 - 197
[35] Empowering Adaptive Geolocation-Based Routing for UAV Networks with Reinforcement Learning
Park, Changmin
Lee, Sangmin
Joo, Hyeontae
Kim, Hwangnam
DRONES, 2023, 7 (06)
[36] AOR: Adaptive opportunistic routing based on reinforcement learning for planetary surface exploration
Wang, Yijie
Yu, Ziping
Zhao, Zhongliang
Cao, Xianbin
COMPUTER COMMUNICATIONS, 2023, 211 : 134 - 146
[37] A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks
Abrol, Akshita
Mohan, Purnima Murali
Truong-Huu, Tram
ICC 2024 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2024, : 465 - 471
[38] Intelligence in wireless network routing through reinforcement learning
Simi, S.
Ramesh, Maneesha Vinodini
INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2019, 23 (02) : 231 - 251
[39] A Reinforcement Learning-Based Adaptive Learning System
Shawky, Doaa
Badawi, Ashraf
INTERNATIONAL CONFERENCE ON ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS (AMLTA2018), 2018, 723 : 221 - 231
[40] Adaptive reinforcement learning based on degree of learning progress
Mimura, Akihiro
Kato, Shohei
PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12), 2012, : 959 - 962

← 1 2 3 4 5 →