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.

中文翻译：

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异构物联网网络中的速率自适应和延迟

本文研究了时隙物联网 (IoT) 网络中速率自适应的影响。对于给定的时隙持续时间和数据包大小，速率自适应需要将数据包分段以适应时隙持续时间。考虑到基础流量的质量和时间分辨率，本文描述了物联网网络中传输速率和数据包延迟之间的权衡。使用来自随机几何和排队理论的工具，为静态和动态速率自适应方案开发了一种新颖的数学框架。结果表明，有一个最佳静态速率可以最小化延迟，这取决于网络参数。此外，动态速率显示出对网络参数的不同变化具有弹性，而不会牺牲数据包延迟。