基于知识图谱的端到端内容共享机制  

Device-to-device content sharing mechanism based on knowledge graph

作　　者：赵晓焱[1,2] 匡燕 王梦含 袁培燕[1,2] ZHAO Xiaoyan;KUANG Yan;WANG Menghan;YUAN Peiyan(College of Computer and Information Engineering,Henan Normal University,Xinxiang Henan 453007,China;Henan Engineering Laboratory of Intelligence Business&Internet of Things(Henan Normal University),Xinxiang Henan 453007,China)

机构地区：[1]河南师范大学计算机与信息工程学院,河南新乡453007 [2]智慧商务与物联网技术河南省工程实验室(河南师范大学),河南新乡453007

出　　处：《计算机应用》2024年第4期995-1001,共7页journal of Computer Applications

基　　金：国家自然科学基金资助项目(62072159);河南省科技攻关计划项目(222102210011,232102211061)。

摘　　要：端到端(D2D)通信利用边缘网络的本地计算和缓存能力,可以满足未来移动网络用户低延时、高能效的内容共享需求。而边缘网络内容共享效率性能的提升不仅取决于用户社交关系,同时也高度依赖终端设备的特征,如计算、存储和剩余能量资源等。因此,以最大化能量效率为目标,综合考虑设备异质性、用户社交性和兴趣差异性,提出一种用户-设备-内容多维度关联特征的D2D内容共享机制。首先,基于用户成本效益最大化将多目标约束问题转化为最优节点选择和功率控制问题,构建面向用户-设备-内容的多维度知识关联特征和图谱模型,将设备相关的计算资源、存储资源等多维特征结构化处理;其次,研究用户在设备属性和社交属性上的意愿度度量方法,提出一种基于用户社交和设备图谱的共享意愿度度量方法;最后,根据用户共享意愿度构建面向内容共享的D2D协作簇,面向能量效率设计一种基于共享意愿度的功率控制算法,以最大化网络共享性能。在真实用户设备数据集和infocom06数据集的实验结果表明,所提基于共享意愿度的功率控制算法与最近选择算法和不考虑设备意愿度的选择算法相比,系统和速率分别提升了约97.2%和11.1%,用户满意度分别提升了约72.7%和4.3%,能效分别提升了约57.8%和9.7%,验证了所提算法在传输速率、能量效率和用户满意度等方面的有效性。Device-to-Device(D2D)communication leverages the local computing and caching capabilities of the edge network to meet the demand for low-latency,energy-efficient content sharing among future mobile network users.The performance improvement of content sharing efficiency in edge networks not only depends on user social relationships,but also heavily relies on the characteristics of end devices,such as computation,storage,and residual energy resources.Therefore,a D2D content sharing mechanism was proposed to maximize energy efficiency with multidimensional association features of user-device-content,which took into account device heterogeneity,user sociality,and interest difference.Firstly,the multi-objective constraint problem about the user cost-benefit maximization was transformed into the optimal node selection and power control problem.And the multi-dimensional knowledge association features and the graph model for userdevice-content were constructed by processing structurally multi-dimensional features related to devices,such as computing resources and storage resources.Then,the willingness measurement methods of users on device attributes and social attributes were studied,and a sharing willingness measurement method was proposed based on user socialization and device graphs.Finally,according to user sharing willingness,a D2D collaboration cluster oriented to content sharing was constructed,and a power control algorithm based on shared willingness for energy efficiency was designed to maximize the performance of network sharing.The experimental results on a real user device dataset and infocom06 dataset show that,compared to nearest selection algorithm and a selection algorithm without considering device willingness,the proposed power control algorithm based on shared willingness improves the system sum rate by about 97.2%and 11.1%,increases the user satisfaction by about 72.7%and 4.3%,and improves the energy efficiency by about 57.8%and 9.7%,respectively.This verifies the effectiveness of the proposed algori

关 键 词：端到端通信 内容共享 知识图谱 合作意愿 功率控制 

分 类 号：TP393.01[自动化与计算机技术—计算机应用技术]