Priority-based dynamic multi-uav positioning for multi-target search and connectivity

Name: Priority-based dynamic multi-uav positioning for multi-target search and connectivity
Author: Yanmaz, Evsen, Balanji, Hamid Majidi

İsim	Priority-based dynamic multi-uav positioning for multi-target search and connectivity
Yazar	Yanmaz, Evsen, Balanji, Hamid Majidi
Basım Tarihi:	2024-01-01
Basım Yeri	- IEEE
Konu	Multi-target, Target priority, Maintaining connectivity, Path planning, Relay positioning, Unmanned aerial vehicles, Drone networks
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	979-8-3503-0359-9
Kayıt Numarası	638b86b6-6907-4287-bfe8-a0712eabda86
Lokasyon	Electrical & Electronics Engineering
Tarih	2024-01-01
Notlar	TÜBİTAK
Örnek Metin	In case of large-scale disasters such as earthquakes, where urban and public infrastructure might be destroyed, multiple unmanned aerial vehicle (UAV) or multi-drone systems can be very beneficial to rescue teams, by enabling them to carry out multiple tasks simultaneously, such as detecting, monitoring, and connecting multiple targets simultaneously. In this work, we propose an event-driven algorithm that integrates a novel connectivity-based prioritization of targets into dynamic positioning and path planning for multi-UAV systems in search and rescue (SAR) missions. Two distinct groups of UAVs are deployed. While search UAVs sense the area of interest as fast as possible, relay UAVs provide connectivity to search UAVs as well as targets depending on their priority level. Our results show that network formation and target connectivity can be improved up to 60% compared to a benchmark path planner that does not consider connectivity priorities.
DOI	10.1109/WCNC57260.2024.10570621

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Özyeğin Üniversitesi

Kaynağa git

Priority-based dynamic multi-uav positioning for multi-target search and connectivity

Yazar Yanmaz, Evsen, Balanji, Hamid Majidi

Basım Tarihi 2024-01-01

Basım Yeri - IEEE

Konu Multi-target, Target priority, Maintaining connectivity, Path planning, Relay positioning, Unmanned aerial vehicles, Drone networks

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 979-8-3503-0359-9

Kayıt Numarası 638b86b6-6907-4287-bfe8-a0712eabda86

Lokasyon Electrical & Electronics Engineering

Tarih 2024-01-01

Notlar TÜBİTAK

Örnek Metin In case of large-scale disasters such as earthquakes, where urban and public infrastructure might be destroyed, multiple unmanned aerial vehicle (UAV) or multi-drone systems can be very beneficial to rescue teams, by enabling them to carry out multiple tasks simultaneously, such as detecting, monitoring, and connecting multiple targets simultaneously. In this work, we propose an event-driven algorithm that integrates a novel connectivity-based prioritization of targets into dynamic positioning and path planning for multi-UAV systems in search and rescue (SAR) missions. Two distinct groups of UAVs are deployed. While search UAVs sense the area of interest as fast as possible, relay UAVs provide connectivity to search UAVs as well as targets depending on their priority level. Our results show that network formation and target connectivity can be improved up to 60% compared to a benchmark path planner that does not consider connectivity priorities.

DOI 10.1109/WCNC57260.2024.10570621