Strategic Backoff of Slotted ALOHA for Minimal Age of Information

Random access protocols are usually adopted in the Internet of Things to enable uncoordinated medium sharing. Tackling this setting, we explore the statistics of the packet inter-delivery times under slotted ALOHA contention, considering two backoff schemes (reactive vs. proactive). We further discuss the efficiency of these schemes in minimizing the average age of information. Finally, we investigate age minimization both as a centralized optimization and via game theory, obtaining numerical solutions for both cases. A reactive scheme applied in a centralized manner is found to be the most suitable to systems that require a bounded age, whereas a proactive solution applied distributedly is best used to minimize the average age.

Authors

Institutions

Publication Details

Journal
IEEE Communications Letters
Published
2024-11-22
DOI
https://doi.org/10.1109/lcomm.2024.3504745
Citations
7
Primary Topic
Age of Information Optimization
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strategic Backoff of Slotted ALOHA for Minimal Age of Information

Andrea Munari, Alessandro Buratto, Leonardo Badia
7 citations
IEEE Communications Letters
Age of Information Optimization
2.44
article

Strategic Backoff of Slotted ALOHA for Minimal Age of Information

Andrea Munari, Alessandro Buratto, Leonardo Badia
article en
7 citations

Abstract

Random access protocols are usually adopted in the Internet of Things to enable uncoordinated medium sharing. Tackling this setting, we explore the statistics of the packet inter-delivery times under slotted ALOHA contention, considering two backoff schemes (reactive vs. proactive). We further discuss the efficiency of these schemes in minimizing the average age of information. Finally, we investigate age minimization both as a centralized optimization and via game theory, obtaining numerical solutions for both cases. A reactive scheme applied in a centralized manner is found to be the most suitable to systems that require a bounded age, whereas a proactive solution applied distributedly is best used to minimize the average age.

IEEE Communications LettersVol. 29(1)
University of Padua (IT), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Climate action
Openalex Percentile: Top 10%
Age of Information Optimization
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.