基于深度强化学习的无线传感器网络分簇算法分析
Analysis of Clustering Algorithm for Wireless Sensor Networks Based on Deep Reinforcement Learning
李文娟1
作者信息
- 1. 杨凌职业技术学院信息工程学院,陕西 712100
- 折叠
摘要
阐述为解决传感器节点资源受限的问题,提出基于深度强化学习的无线传感器网络分簇算法.该算法通过能量模型计算评估节点的能量状态,并利用深度强化学习框架智能地选择簇首节点.
Abstract
This paper describes a clustering algorithm for wireless sensor networks based on deep reinforcement learning to solve the problem of limited sensor node resources.This algorithm calculates and evaluates the energy status of nodes through an energy model,and intelligently selects the cluster head node using a deep reinforcement learning framework.
关键词
智能技术/网络分簇/无线传感器/深度学习Key words
intelligent technology/network clustering/wireless sensors/deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据