On the Information Freshness of A Two-Sensor Status Update System

Tianqing Yang, Zhengchuan Chen, Howard H. Yang, Nikolaos Pappas, Min Wang, Yunjian Jia, Tony Q.S. Quek

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This work studies the average Age of Information (AoI) of a remote monitoring system in which two sensors observe the same physical process and update the status to a common monitor using orthogonal channels. While using redundant devices to update the status of a process can improve the information timeliness at the monitor, the out-of-order arrivals of updates impose a challenge to the AoI analysis. We first model the system as two parallel M/M/1/1 queues. By leveraging tools from stochastic hybrid systems, we obtain analytically the average AoI of the system. In particular, when the arrival or service rates are the same for the two sensors, the average AoI is given in closed form. Our analysis reveals that the average AoI of the considered system is reduced by 16.44% compared to the single-sensor system when the arrival and service rates are equal to 1. Numerical results show that the considered system outperforms the M/M/2 system in average AoI at high arrival rates.

Original languageEnglish
Title of host publication2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350329285
Publication statusPublished - 2023
Event98th IEEE Vehicular Technology Conference, VTC 2023-Fall - Hong Kong, China
Duration: 2023 Oct 102023 Oct 13

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference98th IEEE Vehicular Technology Conference, VTC 2023-Fall
CityHong Kong

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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