.png){kind=icon}
返回
Efficient Routing Protocol for Wireless Sensor Network based on Reinforcement Learning
.png){kind=icon}
PRE
AI
DOI：10.1109/atsip49331.2020.9231883.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Wireless sensor nodes are battery-powered devices which makes the design of energy-efficient Wireless Sensor Networks (WSNs) a very challenging issue. In this paper, we propose a new routing protocol for WSN based on distributed Reinforcement Learning (RL). The proposed approach optimises WSN lifetime and energy consumption. This routing protocol learns, over time, the optimal path to the sink node(s). With a dynamic path selection, our algorithm ensures higher energy efficiency, postpones nodes death and isolation. We consider while routing messages the distance between nodes, available energy and hop count to the sink node. The effectiveness of the proposed protocol is demonstrated through simulations and comparisons with some existing algorithms over different lifetime definitions.
Keyword:
WSN
Lifetime
Energy-efficiency
Routing protocol
Reinforcement learning
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
机构
引用论文
Reinforcement Learning Based Routing in Networks: Review and Classification of Approaches.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks无线传感器网络中网络寿命最大化技术综述
PREAI
分享收藏Accelerated increase in plant species richness on mountain summits is linked to warming山峰上植物物种丰富度的加速增加与变暖有关Nature
NatureIF0
PREAI
分享收藏Condensation and vaporization studies of CH3OH and NH3 ices: Major implications for astrochemistry
PREAI
分享收藏
分享收藏
查看更多内容