论文标题
异质IoT网络中的比率适应和延迟
Rate Adaptation and Latency in Heterogeneous IoT Networks
论文作者
论文摘要
本文研究了速率适应时间的效果。对于给定的时间插槽持续时间和数据包大小，速率适应需要数据包碎片以适合时间插槽持续时间。考虑到基础流量的质量和时间分辨率，本文的特征是物联网网络中传输速率和数据包延迟之间的权衡。使用随机几何学和排队理论中的工具，为静态和动态速率适应方案开发了一种新颖的数学框架。结果表明，有一个最佳的静态速率可以最大程度地减少延迟，这取决于网络参数。此外，动态速率被证明对网络参数的不同变化具有弹性，而无需牺牲数据包延迟。
This paper studies the effect of rate adaptation in time slotted Internet of things (IoT) networks. For a given time slot duration and packets size, rate adaptation necessitates packet fragmentation to fit the time slot duration. Accounting for the quality and time resolution of the underlying traffic, this paper characterizes the tradeoff between transmission rate and packet latency in IoT networks. Using tools from stochastic geometry and queueing theory, a novel mathematical framework is developed for static and dynamic rate adaptation schemes. The results show that there is an optimal static rate that minimizes latency, which depends on the network parameters. Furthermore, the dynamic rate is shown to be resilient to different variations in the network parameters without sacrificing packet latency.
