Area Division Cluster-based Algorithm for Data Collection over UAV Networks

Khedidja Medani, Houssem Guemer, Zibouda Aliouat, Saad Harous

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we consider the unmanned aerial vehicles (UAVs) as mobile sensors with flying ability to provide a timely and accurate vision over a large supervised area. The interconnection of these UAVs, in order to route the collected data to the control station on the ground, constitutes the flying ad hoc network (FANET). However, the UAVs features impose challenging issues to data collection and routing. Thus, the communications are prone to high-frequency link disconnections caused by the high mobility of UAVs. In this paper, we propose a reliable architecture to collect and route data to a ground station (GS). The proposed simple area division cluster-based algorithm (SAD-CA) provides a stable network architecture through the clustering technique in order to deal with the high mobility of the UAVs while preserving their energy consumption. The performance evaluation of the proposed algorithm, carried out using the network simulator 3 (NS3), has shown convincing results, in terms of energy consumption and network lifetime, outperforming those exhibited by the referred protocol.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Electro Information Technology, EIT 2021
PublisherIEEE Computer Society
Pages309-315
Number of pages7
ISBN (Electronic)9781665418461
DOIs
Publication statusPublished - May 14 2021
Event2021 IEEE International Conference on Electro Information Technology, EIT 2021 - Mt. Pleasant, United States
Duration: May 14 2021May 15 2021

Publication series

NameIEEE International Conference on Electro Information Technology
Volume2021-May
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Conference

Conference2021 IEEE International Conference on Electro Information Technology, EIT 2021
Country/TerritoryUnited States
CityMt. Pleasant
Period5/14/215/15/21

Keywords

  • Flying Ad-hoc Networks
  • clustering
  • data collection
  • energy optimization
  • routing
  • unmanned aerial vehicles

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Area Division Cluster-based Algorithm for Data Collection over UAV Networks'. Together they form a unique fingerprint.

Cite this