计算机与数字工程2025，Vol.53Issue(1)：127-132,6.DOI:10.3969/j.issn.1672-9722.2025.01.025
基于自适应遗传算法的DTN阻塞策略研究
Research on DTN Blocking Strategy Based on Adaptive Genetic Algorithm
摘要
Abstract
A new adaptive genetic algorithm is proposed and integrated with DTN(Delay Tolerant Networks)to solve the rout-ing congestion problem of DTN network.Firstly,based on the reward and punishment strategy,this method uses a function about time t to replace the constant Q of the traditional algorithm to complete the adaptive dynamic update of pheromone,speed up the path optimization speed and strengthen the better solution.Secondly,the improved algorithm is applied to DTN network blocking,the information from the source node to the destination node is transmitted for many times,and the pheromone and heuristic value of each node are given to realize the node transfer value and design the transfer evaluation parameters,so as to achieve the effect of dy-namically selecting the transfer node and reduce the possibility of network blocking.Simulation results show that the algorithm can improve the execution efficiency and network blocking rate,and the overall performance is better than the related algorithms.关键词
时延容忍网络/遗传算法/自适应/惩罚策略/控制路由/网络阻塞Key words
DTN/genetic algorithm/self-adaption/punishment strategy/control routing/network blocking分类
信息技术与安全科学引用本文复制引用
王云,李丛..基于自适应遗传算法的DTN阻塞策略研究[J].计算机与数字工程,2025,53(1):127-132,6.基金项目
国家自然科学基金项目(编号:61871430)资助. （编号:61871430）
