Minimization of Age of Information for Monitoring Realistic Physical Processes in Unmanned Aerial Vehicle Networks

Xuanlin Liu, Sihua Wang, Mingzhe Chen, Changchuan Yin, Shuguang Cui, H. Vincent Poor

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

Abstract

In this paper, the problem of minimizing the age of information (AoI) of drone-based systems is studied. In particular, unmanned aerial vehicles (UAVs) that are equipped with sensors assist a base station (BS) to monitor several physical processes of interest by sampling and transmitting the status information of these physical processes. Due to wireless resource limitations, the BS can only receive the sampled status information from a subset of UAVs and estimate the status of the unsampled physical processes by historical status information. Thus, each UAV must dynamically adjust its sampling policy according to the variations in its monitored physical process, while the BS must determine the subset of UAVs for status information transmission so as to maintain the freshness of the sampled status information. The AoI is used to measure the freshness of the status information. Hence, we formulate this problem as an optimization problem aiming to minimize the overall AoI, including the effects of physical dynamics of the physical processes being monitored. A QMIX-based algorithm is designed to solve this problem. The proposed approach enables the UAVs to optimize the sampling policies with local information and the BS to select the optimal subset of UAVs for status information transmission, thus minimizing the system AoI. Simulation results based on real data of PM2.5 density in Beijing show that the proposed method can reduce the system AoI by up to 62.6% and 75.3% compared to the deep Q-network method and the uniform sampling policy, respectively.

Original languageEnglish (US)
Title of host publication2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages261-265
Number of pages5
ISBN (Electronic)9781665428514
DOIs
StatePublished - 2021
Event22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021 - Lucca, Italy
Duration: Sep 27 2021Sep 30 2021

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2021-September

Conference

Conference22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021
Country/TerritoryItaly
CityLucca
Period9/27/219/30/21

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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