Improvement of Emergency Communication Systems Using Drones in 5G and Beyond for Safety Applications

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

2 Scopus citations

Abstract

Drones are used for public safety missions because of their communication capabilities, unmanned mission, flexible deployment, and low cost. Recently, drone-assisted emergency communication systems in disasters have been developed where instead of a single large drone, flying ad hoc networks (FANETs) are proposed through clustering. Although cluster size has an impact on the proposed system's performance, no method is provided to effectively regulate cluster size. In this paper, optimum cluster size is obtained through two distinct meta-heuristic optimization algorithms - the Cuckoo Search Algorithm (CUCO) and the Particle Swarm Algorithm (PSO). Flowcharts and algorithms of CUCO and PSO are provided. A presentation of an analytical investigation based on the Markov chain model is provided. To further validate the analytical study, simulation results are presented. Simulation shows the improvement in terms of throughput and packet dropping rate (PDR).

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE Future Networks World Forum
Subtitle of host publicationFuture Networks: Imagining the Network of the Future, FNWF 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350324587
DOIs
StatePublished - 2023
Externally publishedYes
Event6th IEEE Future Networks World Forum, FNWF 2023 - Baltimore, United States
Duration: 13 Nov 202315 Nov 2023

Publication series

NameProceedings - 2023 IEEE Future Networks World Forum: Future Networks: Imagining the Network of the Future, FNWF 2023

Conference

Conference6th IEEE Future Networks World Forum, FNWF 2023
Country/TerritoryUnited States
CityBaltimore
Period13/11/2315/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • 5G and beyond
  • Emergency communication
  • Safety applications
  • drone
  • meta-heuristic optimization algorithms

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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