Age-of-Information Dependent Random Access for Massive IoT Networks
arXiv:2001.04780
Abstract
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.
Accepted to appear at INFOCOM 2020 Workshop on Age of Information
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Cited by in corpus (5)
- Optimizing Information Freshness via Multiuser Scheduling with Adaptive NOMA/OMA
- Performance Analysis of Age of Information in Ultra-Dense Internet of Things (IoT) Systems with Noisy Channels
- Optimizing Information Freshness for Cooperative IoT Systems with Stochastic Arrivals
- Multiuser Scheduling for Minimizing Age of Information in Uplink MIMO Systems
- Pooling is not Favorable: Decentralize Mining Power of PoW Blockchain Using Age-of-Work