重庆科技学院学报(自然科学版)2024,Vol.26Issue(1):59-63,5.DOI:10.19406/j.issn.1673-1980.2024.01.010
基于节点位置学习分布模型的无线网络链路规划
Wireless Network Link Planning Based on Node Location Learning Distribution Model
摘要
Abstract
A wireless network link planning algorithm based on node location learning distribution model is proposed to address the problems of low resource utilization and fast node energy consumption in existing wireless network link planning.Firstly,select the optimal target node and form a reasonable network node topology structure;Then,accurately identify the current node location through communication perception between nodes;Finally,introduce an optimized genetic algorithm to enhance the data processing and iterative optimization capabilities of wireless net-works,and obtain the optimal network link planning results by combining the learning results.The experimental re-sults show that the algorithm can improve node cache utilization and network bandwidth utilization,and save energy consumption of wireless networks through communication link optimization,thereby prolonging the lifespan of survi-ving nodes and the entire network lifecycle.关键词
节点位置学习/无线网络/适应度函数/网络寿命/网络带宽Key words
node position learning/wireless network/fitness function/network lifespan/network bandwidth分类
信息技术与安全科学引用本文复制引用
姚孝生..基于节点位置学习分布模型的无线网络链路规划[J].重庆科技学院学报(自然科学版),2024,26(1):59-63,5.