As the most well-known application of the Internet of Things (IoT), remote monitoring is now pervasive. In these monitoring applications, information usually has a higher value when it is fresher. A new metric, termed the age of information (AoI), has recently been proposed to quantify the information freshness in various IoT applications. This paper concentrates on the design and analysis of age-oriented random access for massive IoT networks. Specifically, we devise a new stationary threshold-based age-dependent random access (ADRA) protocol, in which each IoT device accesses the channel with a certain probability only when its instantaneous AoI exceeds a predetermined threshold. We manage to evaluate the average AoI of the proposed ADRA protocol mathematically by decoupling the tangled AoI evolution of multiple IoT devices and modeling the decoupled AoI evolution of each device as a Discrete-Time Markov Chain. Simulation results validate our theoretical analysis and affirm the superior age performance of the proposed ADRA protocol over the state-of-the-art age-oriented random access schemes.

中文翻译：

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大规模物联网网络的信息时代相关随机访问

作为物联网 (IoT) 最著名的应用，远程监控现在已经无处不在。在这些监控应用中，信息越新鲜，通常就具有更高的价值。最近提出了一种称为信息时代 (AoI) 的新指标，用于量化各种物联网应用中的信息新鲜度。本文专注于面向海量物联网网络的面向年龄的随机访问的设计和分析。具体来说，我们设计了一种新的基于静态阈值的年龄相关随机访问 (ADRA) 协议，其中每个 IoT 设备仅在其瞬时 AoI 超过预定阈值时以一定的概率访问信道。我们设法通过解耦多个物联网设备的复杂 AoI 演化并将每个设备的解耦 AoI 演化建模为离散时间马尔可夫链，以数学方式评估提议的 ADRA 协议的平均 AoI。仿真结果验证了我们的理论分析，并肯定了所提出的 ADRA 协议优于最先进的面向年龄的随机接入方案的年龄性能。