Information Freshness Analysis of Slotted ALOHA in Gilbert-Elliot\n Channels

2021/03/24 by Andrea Munari, Munari, Andrea, Gianluigi Liva +1 · 1 citation
Computer Science · Engineering · Psychology · #Age of Information Optimization #Cognitive Functions and Memory #FOS: Computer and information sciences #Information Theory (cs.IT) #IoT Networks and Protocols #Networking and Internet Architecture (cs.NI)

paper · pdf · doi:10.48550/arxiv.2103.13346

openalex publication_date 2021/03/24 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28

Abstract

This letter analyzes a class of information freshness metrics for large IoT\nsystems in which terminals employ slotted ALOHA to access a common channel.\nConsidering a Gilbert- Elliot channel model, information freshness is evaluated\nthrough a penalty function that follows a power law of the time elapsed since\nthe last received update, in contrast with the linear growth of age of\ninformation. By means of a signal flow graph analysis of Markov processes, we\nprovide exact closed form expressions for the average penalty and for the peak\npenalty violation probability.\n

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