Information Freshness Analysis of Slotted ALOHA in Gilbert-Elliot Channels
Information Theory
2021-06-23 v2 Networking and Internet Architecture
math.IT
Abstract
This letter analyzes a class of information freshness metrics for large IoT systems in which terminals employ slotted ALOHA to access a common channel. Considering a Gilbert- Elliot channel model, information freshness is evaluated through a penalty function that follows a power law of the time elapsed since the last received update, in contrast with the linear growth of age of information. By means of a signal flow graph analysis of Markov processes, we provide exact closed form expressions for the average penalty and for the peak penalty violation probability.
Keywords
Cite
@article{arxiv.2103.13346,
title = {Information Freshness Analysis of Slotted ALOHA in Gilbert-Elliot Channels},
author = {Andrea Munari and Gianluigi Liva},
journal= {arXiv preprint arXiv:2103.13346},
year = {2021}
}