Energy-efficient animal tracking with multi-unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks

Ergünşah Şenol, TÜMEN VEDAT, KOŞUNALP SELAHATTİN, DEMİR KUBİLAY

Energy-efficient animal tracking with multi-unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks

YAYIN ID:

8250416

KAPSAM AD:

Uluslararası

HAKEM TUR AD:

Hakemli

ENDEKS:

SCI-Expanded

MAKALE ADI:

Energy-efficient animal tracking with multi-unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks

YAZAR ADI:

Ergünşah Şenol, TÜMEN VEDAT, KOŞUNALP SELAHATTİN, DEMİR KUBİLAY

DERGI ADI:

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

YAYIN DILI ADI:

Türkçe

AY:

YIL:

2023

CILT:

SAYI:

ILK SAYFA:

SON SAYFA:

ISSN:

1532-0626

ERISIM TURU AD:

Basılı

ALAN BILGISI:

Mühendislik Temel Alanı>Elektrik-Elektronik Mühendisliği>Ağ Sistemleri>Haberleşme>Gömülü Sistemler>path planning, reinforcement learning, UAV, wild animal tracking, wireless sensor networks

YAZAR ID:

6987586

GUNCELLEME TARIHI:

2024-01-03 15:40:44

MAKALE TURU AD:

Özgün Makale

ERISIM LINKI: