Minimizing the Age of Information from Sensors with Common Observations

2018/11/15 by Anders E. Kalør, Petar Popovski, Kalør, Anders E. +1 · 3 citations
Computer Science · Medicine · Physics and Astronomy · #Age of Information Optimization #Atomic and Subatomic Physics Research #Congenital Heart Disease Studies #FOS: Computer and information sciences #Information Theory (cs.IT) #Networking and Internet Architecture (cs.NI)

paper · pdf · doi:10.48550/arxiv.1811.06453

openalex publication_date 2018/11/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We study the average Age of Information (AoI) in a system where physical sources produce independent discrete-time updates that are each observed by several sensors. We devise a model that is simple, but still capable to capture the main tradeoffs. Two sensor scheduling policies are proposed to minimize the AoI of the sources; one in which the system parameters are assumed known, and one in which they are learned. Both policies are able to exploit the common sensor information to reduce the AoI, resulting in large reductions in AoI compared to common schedules.

Cited by

• Real-Time Remote Monitoring of Correlated Markovian Sources
• Remote Tracking with State-Dependent Sensing in Pull-Based Systems: A POMDP Framework
• Multimodal Remote Inference

Related

• On Minimizing Channel-Aware Age of Information in a Multi-Sensor Setting
• Timely Monitoring of Dynamic Sources with Observations from Multiple Wireless Sensors
• Age- and Deviation-of-Information of Time-Triggered and Event-Triggered Systems
• Age of Information: An Introduction and Survey
• When to pull data from sensors for minimum Distance-based Age of incorrect Information metric