hadiwardoyo2019evaluating

S. A. Hadiwardoyo, C. T. Calafate, J. Cano, Y. Ji, E. Hernández-Orallo and P. Manzoni, "Evaluating UAV-to-Car Communications Performance: From Testbed to Simulation Experiments," Proceedings of IEEE Consumer Communications and Networking Conference (CCNC 2019), Las Vegas, NV, January 2019. [DOI, BibTeX, Details...]

Abstract

Unmanned Aerial Vehicles (UAVs), popularly known as drones, are foreseen as mobile infrastructures that support communications when a fixed infrastructure is missing in vehicular networks. UAVs can act as message relays between ground vehicles or broadcast alerts in emergency situations. Simulation that involves UAVs, combined with ground vehicles, should support 3D transmission features as the drone is not positioned in a flat surface. Results from real test bed experiments showed that irregular terrains that form hills and mountains can act as obstacles that limit the communications range. In this paper, we propose a simulation framework that runs within the OMNeT++ simulator which exhibits results comparable to the ones obtained in the real test bed, when applied to different scenarios. In the simulation, a measurement of the communications quality between UAVs and cars that considers 3D real-world terrain features which will have an impact on signal attenuation shows that the level of realism has improved when compared to simulation experiments that only consider planar communications.

Quick access

Contact

  • S. A. Hadiwardoyo
  • C. T. Calafate
  • J. Cano
  • Y. Ji
  • E. Hern├índez-Orallo
  • P. Manzoni

BibTeX reference

@inproceedings{hadiwardoyo2019evaluating,
  author = {Hadiwardoyo, S. A. and Calafate, C. T. and Cano, J. and Ji, Y. and Hern{\'{a}}ndez-Orallo, E. and Manzoni, P.},
  title = {{Evaluating UAV-to-Car Communications Performance: From Testbed to Simulation Experiments}},
  booktitle = {IEEE Consumer Communications and Networking Conference (CCNC 2019)},
  address = {Las Vegas, NV},
  doi = {10.1109/CCNC.2019.8651669},
  month = {January},
  year = {2019},
}

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceeedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.