一种基于蚁群算法的深空光通信网络链路性能研究  

Research on link performance of deep space optical communication network based on ant colony algorithm

作　　者：王小瑞 陈冬冬 何红杰 WANG Xiaorui;CHEN Dongdong;HE Hongjie(School of Computer and Communication Engineering,Zhengzhou University of Light Industry,Zhengzhou 450002,China)

机构地区：[1]郑州轻工业大学计算机与通信工程学院,郑州450002

出　　处：《光通信技术》2022年第4期22-26,共5页Optical Communication Technology

基　　金：河南省自然科学基金项目(批准号212300410302)资助;博士启动基金项目(0131/13501050033)资助;河南省科技攻关项目(批准号212102210554)资助;郑州市重大科技创新专项项目(No.2019CXZX0042)资助。

摘　　要：为尽量减少额外开销和寻找最优传输路径,结合激光通信视距传输和长距离传输的特性,提出了一种基于蚁群算法的深空光通信网络路由算法(RA-ACA)。首先对深空光通信中的单向链路问题、节点能耗问题进行研究,然后在传统路由算法的基础上对RA-ACA进行优化,最后进行了仿真对比实验。仿真结果表明:RA-ACA收敛路径上的剩余总能量高于TACA约5kW·h,RA-ACA保留节点信息素时收敛速度提高了50%。In order to minimize additional overhead and find the optimal transmission path,combined with the characteristics of line of sight transmission and long-distance transmission of laser communication,a deep space optical communication network routing algorithm(RA-ACA)based on ant colony algorithm is proposed.Firstly,the unidirectional link problem and node energy consumption problem in deep space optical communication are studied,and then RA-ACA is optimized based on the traditional routing algorithm.Finally,the simulation and comparison experiments are carried out.The simulation results show that the total remaining energy on the convergence path of RA-ACA is about 5 kW·h higher than that of TACA,and the convergence speed of RA-ACA is increased by 50%when it retains the node pheromone.

关 键 词：深空通信 激光通信 链路性能 

分 类 号：TN929.12[电子电信—通信与信息系统]