Performance Analysis of UAV-Assisted Sensor Networks for Emergency Scenarios

Saud Althunibat, Mohammad Taghi Dabiri, Mazen Hasna, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Involving Unmanned Aerial Vehicles (UAVs) in wire-less networks has been widely investigated in the literature considering different scenarios such as emergency scenarios in which UAV(s) can play a significant role by compensating the damaged/lost network's components. For example, Sensor Networks (SNs) in emergency scenarios may lose some sensor nodes or the Central Entity (CE) itself, which requires fast, prompt and efficient alternative to replace them. Therefore, UAVs are widely nominated to such a role due to their flexibility and maneuverability. However, compared to ground-based entities, UAVs suffer from the continuous position fluctuations, which directly affects the antenna's orientation. Such an effect becomes a serious challenge in high frequency links such as millimeter wave (mmWave) links which are very sensitive to antennas misalignment. In this paper, the performance of UAV-based SNs is addressed by analyzing the impact of UAV's vibration on the performance metrics including detection and false-alarm probabilities. To this end, two network models are adopted, namely, Ground-based Hybrid SN (G-HSN) and Aerial-based Hybrid SN (A-HSN), depending on whether the CE is ground or aerial node. A mathematical framework is followed to express performance metrics in closed form expressions considering practical conditions including channel fading, orientation fluctuations of directional mmWave antennas and path loss. Simulation results validate the accuracy of the derived mathematical expressions and depict the impact of different operational parameters.

Original languageEnglish
Title of host publication2024 Ieee 99th Vehicular Technology Conference, Vtc2024-spring
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9798350387414
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event99th IEEE Vehicular Technology Conference, VTC2024-Spring 2024 - Singapore, Singapore
Duration: 24 Jun 202427 Jun 2024

Publication series

NameIeee Vehicular Technology Conference Vtc

Conference

Conference99th IEEE Vehicular Technology Conference, VTC2024-Spring 2024
Country/TerritorySingapore
CitySingapore
Period24/06/2427/06/24

Keywords

  • Emergency management
  • Millimeter Wave
  • Sensor Networks
  • Unmanned Aerial Vehicles

Fingerprint

Dive into the research topics of 'Performance Analysis of UAV-Assisted Sensor Networks for Emergency Scenarios'. Together they form a unique fingerprint.

Cite this