UAV trajectory planning for disaster scenarios

Due to the unavailability of the traditional network in disaster scenarios, users are often unable to communicate with the first responders. In this regard, Unmanned Aerial Vehicle (UAV) as an Aerial Base Station (ABS) and user equipments (UEs) with Device-to-Device communication (D2D) mode, provide an alternative for enabling end-to-end connectivity between UEs and first responders. To effectively utilize D2D mode, in this paper, the authors first propose a k-value selection method (RSAND) relating three communication factors: area, receiver sensitivity, and density. For ensuring end-to-end connectivity between the clustered UEs, two UAV trajectory planning algorithms are proposed based on the RSAND and K-means centroids. In addition, two cluster head (CH) selection schemes are proposed based on UAV trajectory to select a more suitable node as a cluster head (CH) to ensure it is in the proximity of ABS. The performance of proposed schemes is analyzed based on average end-to-end outage probability. Simulation results show that the proposed algorithms have better performance over benchmark schemes, in terms of average end-to-end outage probability and trajectory length. Moreover, a case study of a real terrorist attack scenario is carried out to validate the efficacy of the proposed solution.

• Record URL:
  https://doi.org/10.1016/j.vehcom.2022.100568
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2214209622001152
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22142096
• Supplemental Notes:
  • © 2022 Elsevier Inc. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Javed, Sadaf
  • Hassan, Ali
  • Ahmad, Rizwan
  • 0000-0002-4758-7895
  • Ahmed, Waqas
  • 0000-0001-5928-4245
  • Alam, Muhammad Mahtab
  • Rodrigues, Joel J P C
• Publication Date: 2023-2

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 100568
• Serial:
  • Vehicular Communications
  • Volume: 39
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2214-2096
  • Serial URL: http://www.sciencedirect.com/science/journal/22142096/1/2

Subject/Index Terms

• TRT Terms: Drones; Mobile communication systems; Trajectory control; Vehicle to vehicle communications
• Subject Areas: Aviation; Data and Information Technology; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01874733
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 27 2023 8:51AM