The deployment of unmanned aerial vehicles at optimized locations to provide communication in natural disasters

Gabriela L. Rodríguez-Cortés; Anabel Martínez-Vargas; Oscar Montiel-Ross

doi:10.1007/978-3-319-71008-2_36

The deployment of unmanned aerial vehicles at optimized locations to provide communication in natural disasters

Gabriela L. Rodríguez-Cortés, Anabel Martínez-Vargas, Oscar Montiel-Ross

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

Our economy and society depend on the continued operation of the internet and other networks. During a natural disaster, the communication infrastructure is affected and as a consequence interrupted. In such scenario, there is a vital need to maintain communication between first responders and victims. Recently, the use of Unmanned Aerial Vehicles (UAVs) has been proposed to deliver broadband connectivity since they are deployed quickly as aerial base stations to the affected area. However, figuring out the optimized locations of the UAVs is a difficult task due to a large number of combinations. To solve this, we apply a genetic algorithm with steady-state population model and binary representation with the aim of improving the network coverage.

Original language	English
Title of host publication	Studies in Computational Intelligence
Publisher	Springer Verlag
Pages	501-513
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-319-71008-2_36
State	Published - 2018
Externally published	Yes

Publication series

Name	Studies in Computational Intelligence
Volume	749
ISSN (Print)	1860-949X

Keywords

Genetic algorithms
Public safety communications
Steady-state model
Unmanned Aerial Vehicles

Access to Document

10.1007/978-3-319-71008-2_36

Cite this

@inbook{325b038ce20d461cae1842f1882f13e6,

title = "The deployment of unmanned aerial vehicles at optimized locations to provide communication in natural disasters",

abstract = "Our economy and society depend on the continued operation of the internet and other networks. During a natural disaster, the communication infrastructure is affected and as a consequence interrupted. In such scenario, there is a vital need to maintain communication between first responders and victims. Recently, the use of Unmanned Aerial Vehicles (UAVs) has been proposed to deliver broadband connectivity since they are deployed quickly as aerial base stations to the affected area. However, figuring out the optimized locations of the UAVs is a difficult task due to a large number of combinations. To solve this, we apply a genetic algorithm with steady-state population model and binary representation with the aim of improving the network coverage.",

keywords = "Genetic algorithms, Public safety communications, Steady-state model, Unmanned Aerial Vehicles",

author = "Rodr{\'i}guez-Cort{\'e}s, {Gabriela L.} and Anabel Mart{\'i}nez-Vargas and Oscar Montiel-Ross",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.",

year = "2018",

doi = "10.1007/978-3-319-71008-2_36",

language = "Ingl{\'e}s",

series = "Studies in Computational Intelligence",

publisher = "Springer Verlag",

pages = "501--513",

booktitle = "Studies in Computational Intelligence",

address = "Alemania",

}

The deployment of unmanned aerial vehicles at optimized locations to provide communication in natural disasters. / Rodríguez-Cortés, Gabriela L.; Martínez-Vargas, Anabel; Montiel-Ross, Oscar.
Studies in Computational Intelligence. Springer Verlag, 2018. p. 501-513 (Studies in Computational Intelligence; Vol. 749).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - The deployment of unmanned aerial vehicles at optimized locations to provide communication in natural disasters

AU - Rodríguez-Cortés, Gabriela L.

AU - Martínez-Vargas, Anabel

AU - Montiel-Ross, Oscar

PY - 2018

Y1 - 2018

N2 - Our economy and society depend on the continued operation of the internet and other networks. During a natural disaster, the communication infrastructure is affected and as a consequence interrupted. In such scenario, there is a vital need to maintain communication between first responders and victims. Recently, the use of Unmanned Aerial Vehicles (UAVs) has been proposed to deliver broadband connectivity since they are deployed quickly as aerial base stations to the affected area. However, figuring out the optimized locations of the UAVs is a difficult task due to a large number of combinations. To solve this, we apply a genetic algorithm with steady-state population model and binary representation with the aim of improving the network coverage.

AB - Our economy and society depend on the continued operation of the internet and other networks. During a natural disaster, the communication infrastructure is affected and as a consequence interrupted. In such scenario, there is a vital need to maintain communication between first responders and victims. Recently, the use of Unmanned Aerial Vehicles (UAVs) has been proposed to deliver broadband connectivity since they are deployed quickly as aerial base stations to the affected area. However, figuring out the optimized locations of the UAVs is a difficult task due to a large number of combinations. To solve this, we apply a genetic algorithm with steady-state population model and binary representation with the aim of improving the network coverage.

KW - Genetic algorithms

KW - Public safety communications

KW - Steady-state model

KW - Unmanned Aerial Vehicles

UR - http://www.scopus.com/inward/record.url?scp=85040677149&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-71008-2_36

DO - 10.1007/978-3-319-71008-2_36

M3 - Capítulo

AN - SCOPUS:85040677149

T3 - Studies in Computational Intelligence

SP - 501

EP - 513

BT - Studies in Computational Intelligence

PB - Springer Verlag

ER -

The deployment of unmanned aerial vehicles at optimized locations to provide communication in natural disasters

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this