光通信技术2024，Vol.48Issue(2)：12-17,6.DOI:10.13921/j.cnki.issn1002-5561.2024.02.003
一种用于紫外光通信网络的改进蚁群算法
Improved ant colony algorithm for ultraviolet communication network
摘要
Abstract
Due to the strong time-varying nature of the ultraviolet communication network channel,corresponding adaptive rout-ing is needed to solve the problems of high network transmission delay and uneven energy consumption of nodes during the net-working process.Based on ant colony optimization(ACO)algorithm,an improved ACO algorithm for ultraviolet communication networks is proposed.The algorithm introduces the network node energy into the state transition probability formula of ACO al-gorithm,and analyzes the delay performance of the algorithm under different transmitting angles,transmitting power and data transmission rates by Matlab simulation software.The simulation results show that compared with the ACO algorithm,when the transmit-receive elevation is 50°,the delay of the proposed algorithm is reduced by 1 s,the convergence speed is increased by 28%,the average residual energy of the convergence path is also significantly increased,and the life cycle of the network is effec-tively extended.关键词
紫外光通信/蚁群算法/网络传输时延/平均剩余能量/自组织网络Key words
ultraviolet communication/ant colony optimization/network transmission delay/average residual energy/self-orga-nizing network分类
信息技术与安全科学引用本文复制引用
邱达,李建华,汪井源,韦玮..一种用于紫外光通信网络的改进蚁群算法[J].光通信技术,2024,48(2):12-17,6.基金项目
国家自然科学基金项目(No.62171463、62271502)资助. （No.62171463、62271502）
