基于多源数据分析的物联网智能跨层资源分配算法  

Intelligent Cross-Layer Resource Allocation Algorithm for Internet of Things Based on Multi-Source Data Analysis

作　　者：张进军 周锐 ZHANG Jinjun;ZHOU Rui(Department of Information Management,Anhui Vocational College of Police Officers,Hefei 230031,China;Department of Electrical Engineering,Anhui Electrical Engineering Professional Technique College,Hefei 230051,China)

机构地区：[1]安徽警官职业学院信息管理系,安徽合肥230031 [2]安徽电气工程职业技术学院电力工程系,安徽合肥230051

出　　处：《安徽电气工程职业技术学院学报》2024年第2期73-81,共9页Journal of Anhui Electrical Engineering Professional Technique College

基　　金：安徽省高等学校省级质量工程项目“数字技术应用产业学院”(项目编号:2022cyxy010)。

摘　　要：文章从提升物联网资源利用率和用户服务质量满意度出发,提出基于多源数据分析的物联网智能跨层资源分配算法。通过模糊物联网各层之间的界限,保证物联网物理层、传输层和应用层之间的信息交互;采用多传感器融合物联网多源数据,获取用户对物联网资源的需求;以终端用户的信道质量为约束条件,对不同信道质量需求终端用户分配调制编码方式;以最大化用户服务质量、吞吐量和用户之间的公平性为优化目标,采用模糊决策求解多目标问题,实现物联网智能跨层资源分配。实验结果表明:该算法应用后终端用户资源分配吞吐量高于10×10^(7)bps,归一化公平性指标在0.2左右,平均每秒中断次数为0.05,提升了服务质量和用户满意度;资源分配后不同信道传播环境的传输性能均较好,且受物联网设备数量影响小,可靠性较高。Starting from increasing the resource utilization and users′satisfaction with service quality,this paper proposes an intelligent cross-layer resource allocation algorithm for the Internet of Things based on multi-source data analysis.Information exchange between the physical layer,transmission layer,and application layer of the Internet of Things is ensured by blurring the boundaries among the layers;multi-sensor fusion of multi-source data from the Internet of Things is adopted to obtain the users′needs of IoT resources;channel quality being a constraint,the modulation and coding methods are assigned to terminal users with different channel quality requirements;aiming for the optimization goals of maximizing user service quality(QoS),throughput and fairness between users,fuzzy decision-making is applied to solve multi-objective problems and achieve intelligent cross-layer resource allocation in the Internet of Things.The experimental results show that the throughput of terminal user resource allocation after the application of this algorithm is higher than 10×10^(7) bps,with a normalized fairness index of around 0.2 and an average interruption rate of 0.05 per second,improving service quality and user satisfaction.the transmission performance of different channels is good after resource allocation,which is less affected by the number of IoT devices and enjoys higher reliability.

关 键 词：多源数据 多传感器 物联网资源 服务质量 智能跨层 资源分配 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]