Area-Optimized UAV Swarm Network for Search and Rescue Operations

The work

AuthorsLaik Ruetten; Paulo Alexandre Regis; David Feil-Seifer; Shamik Sengupta
Editors
Typeinproceedings
Year2020
Citekeyruetten2020areaoptimized

Where it appeared

Published in2020 10th Annual Computing and Communication Workshop and Conference (CCWC)
PublisherIEEE
Pages0613--0618

Identifiers

DOI10.1109/ccwc47524.2020.9031197

Abstract

Intelligent robot swarms are increasingly being explored as tools for search and rescue missions. Efficient path planning and robust communication networks are critical elements of completing missions. The focus of this research is to give unmanned aerial vehicles (UAVs) the ability to selforganize a mesh network that is optimized for area coverage. T UAVs will be able to read the communication strength between themselves and all the UAVs it is connected to using RSSI. The UAVs should be able to adjust their positioning closer to othe UAVs if RSSI is below a threshold, and they should also mainta communication as a group if they move together along a search path. Our approach was to use Genetic Algorithms in a simulated environment to achieve multi-node exploration with emphasis on connectivity and swarm spread.

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How it got hereimport via bibtex
Added2026-08-11 00:00 UTC
Approved bya person 2026-08-16 15:35 UTC

Filed under

networks-that-fly the-copy-is-not-the-work

Cite it as

@inproceedings{ruetten2020areaoptimized,
  title        = {Area-Optimized UAV Swarm Network for Search and Rescue Operations},
  author       = {Laik Ruetten and Paulo Alexandre Regis and David Feil-Seifer and Shamik Sengupta},
  year         = {2020},
  booktitle    = {2020 10th Annual Computing and Communication Workshop and Conference (CCWC)},
  publisher    = {IEEE},
  pages        = {0613--0618},
  doi          = {10.1109/ccwc47524.2020.9031197},
}

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