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基于粒子群算法的D2D内容边缘缓存架构策略 被引量:2

Architecture Strategy of D2D Content Edge Cache Based on Particle Swarm Optimization
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摘要 在通信网络基础设施瘫痪的极端情况下,如何保证救援终端设备网络的互联互通以及高效集中控制,解决指挥现场各类信息汇聚、共享是关键问题。为了延续信息传输,减小中断概率,研究边缘缓存辅助的终端直通(device-to-device,D2D)通信覆盖网,通过内容预置的方式,建立D2D通信边缘缓存架构,以缓存指数最大化为优化方式,通过检测终端节点的缓存架构构建D2D覆盖网虚拟逻辑映射通道,提出了应急条件下基于自适应惯性权重二进制粒子群算法的单兵终端设备D2D内容边缘缓存架构策略。实验结果表明,该算法边缘缓存预置策略具有较高的缓存指数且有利于信息更好的传输。 In the extreme case that the communication network infrastructure is paralyzed,how to ensure the interconnection and efficient centralized control of the rescue terminal equipment network,and how to solve the problem of gathering and sharing all kinds of information on the command site are the key problems.In order to continue the information transmission and reduce the probability of interruption,this paper studies the edge cache-assisted device-to-device(D2D)communication overlay network.Method,establish a D2D communication edge cache architecture,optimize the cache index,and construct a virtual logical mapping channel of the D2D overlay network by detecting the cache architecture of the terminal nodes.A single particle based on adaptive inertial weight binary particle swarm algorithm under emergency conditions Strategy of D2D content edge cache architecture for soldier terminal equipment.Experimental results show that the algorithm's edge cache preset strategy has a higher cache index and is conducive to better information transmission.
作者 孟利民 王锟 郑增乾 蒋维 MENG Li-min;WANG Kun;ZHENG Zeng-qian;JIANG Wei(College of Information Engineering,Zhejiang University of Technology,Hangzhou 310000,China;College of Information Science and Technology,Zhejiang Shuren University,Hangzhou 310000,China)
出处 《计算机科学》 CSCD 北大核心 2020年第S02期345-348,共4页 Computer Science
基金 国家自然科学基金(61871349) 浙江省自然科学基金(LQ19F010013,LY18F010024) 2019年金华市科技计划项目(公益类)(2019-4-176)。
关键词 D2D通信 边缘缓存 缓存指数 自适应 粒子群算法 D2D communication Edge cache Cache index Self-adaption Particle swarm algorithm
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