Lemeshko Oleksandr, Papan Jozef, Yeremenko Oleksandra, Yevdokymenko Maryna, Segec Pavel
V.V. Popovskyy Department of Infocommunication Engineering, Kharkiv National University of Radio Electronics, 61166 Kharkiv, Ukraine.
Department of InfoCom Networks, University of Žilina, 010 26 Žilina, Slovakia.
Sensors (Basel). 2021 Jun 7;21(11):3934. doi: 10.3390/s21113934.
In the article, we present the research and development of an improved delay-sensitive routing tensor model for the core of the IoT network. The flow-based tensor model is considered within the coordinate system of interpolar paths and internal node pairs. The advantage of the presented model is the application for IoT architectures to ensure the Quality of Service under the parameters of bandwidth, average end-to-end delay, and the probability of packet loss. Hence, the technical task of delay-sensitive routing is formulated as the optimization problem together with constraints and conditions imposed on the corresponding routing variables. The system of optimality criteria is chosen for an investigation. Each selected criterion concerning the specifics of the demanded routing problem solution aims at the optimal use of available network resources and the improvement of QoS indicators, namely, average end-to-end delay. The analysis of the obtained routing solutions under different criteria is performed. Numerical research of the improved delay-sensitive routing tensor model allowed us to discover its features and proved the adequacy of the results for the multipath order of routing.
在本文中，我们展示了一种针对物联网网络核心的改进型延迟敏感路由张量模型的研发。基于流的张量模型是在极间路径和内部节点对的坐标系中进行考虑的。所提出模型的优势在于应用于物联网架构，以在带宽、平均端到端延迟和丢包概率等参数下确保服务质量。因此，延迟敏感路由的技术任务被表述为一个优化问题，同时对相应的路由变量施加了约束和条件。选择了最优性准则系统进行研究。每个选定的与所需路由问题解决方案的具体情况相关的准则，旨在优化可用网络资源的使用并改善服务质量指标，即平均端到端延迟。对在不同准则下获得的路由解决方案进行了分析。对改进后的延迟敏感路由张量模型的数值研究使我们发现了它的特性，并证明了路由多路径阶数结果的充分性。
