On coverage of critical nodes in UAV-assisted emergency networks
author
Waheed, Maham
Ahmad, Rizwan
Ahmed, Waqas
Alam, Muhammad Mahtab
Magarini, Maurizio
statement of authorship
Maham Waheed, Rizwan Ahmad, Waqas Ahmed, Muhammad Mahtab Alam and Maurizio Magarini
source
Sensors
publisher
MDPI
journal volume number month
vol. 23, 3
year of publication
2023
pages
art. 1586
url
https://doi.org/10.3390/s23031586
subject term
droonid
otsingu- ja päästeoperatsioonid
simulatsioon
elanikkonnakaitse
keyword
unmanned aerial vehicles (UAVs)
emergency network
critical nodes
coverage
capacity
age of information
reinforcement learning
ISSN
1424-8220
notes
Special Issue: Machine Learning Techniques for Energy Efficient IoT Networks
Bibliogr.: 36 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/130124
https://www.scopus.com/record/display.uri?eid=2-s2.0-85147892947&origin=inward&txGid=33a77ec48df78b32f654478bbea708b0
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=SENSORS-BASEL&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:000929806000001
category (general)
Physics and astronomy
Füüsika ja astronoomia
Engineering
Tehnika
Chemistry
Keemia
Computer science
Arvutiteadus
Biochemistry, genetics and molecular biology
Biokeemia, geneetika ja molekulaarbioloogia
category (sub)
Physics and astronomy. Instrumentation
Füüsika ja astronoomia. Instrumentatsioon
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Physics and astronomy. Atomic and molecular physics, and optics
Füüsika ja astronoomia. Aatomi- ja molekulaarfüüsika ning optika
Chemistry. Analytical chemistry
Keemia. Analüütiline keemia
Computer science. Information systems
Arvutiteadus. Infosüsteemid
Biochemistry, genetics and molecular biology. Biochemistry
Biokeemia, geneetika ja molekulaarbioloogia. Biokeemia
quartile
Q1
TalTech department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Reserch Group
Communication systems research group