On the Peak AoI of UAV-Assisted IoT Networks: A Stochastic Geometry Approach

Yujie Qin, Mustafa Abdelsalam Kishk, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review


In this paper, we analyze the peak age of information (PAoI) in UAV-assisted internet of thing (IoT) networks, in which the locations of IoT devices are modeled by a Matérn cluster process (MCP) and UAVs are deployed at the cluster centers to collect the status updates from the devices. Specifically, we consider that IoT devices can either monitor the same physical process or different physical processes and UAVs split their resources, time or bandwidth, to serve the devices to avoid inter-cluster interference. Using tools from stochastic geometry, we are able to compute the mean activity probability of IoT devices and the conditional success probability of an individual device. We then use tools from queuing theory to compute the PAoI under two load models and two scenarios for devices, respectively. Our numerical results show interesting system insights. We first show that for a low data arrival rate, increasing the number of correlated devices can improve the PAoI for both load models. Next, we show that even though the time-splitting technique causes higher interference, it has a limited impact on the mean PAoI, and the mean PAoI benefits more from the time-splitting technique. This is because of the nature of UAV communication, especially at places where devices (users) are spatially-clustered: shorter transmission distances and better communication channels, comparing the links established by the cluster UAV and serving devices (users) to links established by interferers.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Internet of Things Journal
StatePublished - Sep 28 2023

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Information Systems and Management
  • Computer Science Applications
  • Hardware and Architecture
  • Computer Networks and Communications


Dive into the research topics of 'On the Peak AoI of UAV-Assisted IoT Networks: A Stochastic Geometry Approach'. Together they form a unique fingerprint.

Cite this