Forest Fire Monitoring Through a Network of Aerial Drones and Sensors

被引:8
作者
Simoes, D. [1 ]
Rodrigues, A. [1 ]
Reis, A. B. [1 ]
Sargento, S. [1 ]
机构
[1] Univ Aveiro, Inst Telecomunicacoes, Aveiro, Portugal
来源
2020 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS) | 2020年
关键词
Flying Ad-hoc Networks; Unmanned Aerial Vehicles; Firefighting;
D O I
10.1109/percomworkshops48775.2020.9156137
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the technological advances in recent years, elements such as aerial drones and its sensors are becoming increasingly accessible, smaller, transportable and also more stable in flight. Aerial drone fleets are ideally suited to monitor an active forest fire and to support firefighting teams on duty. In this paper we propose a system to support fire monitoring, built using a Flying Ad-hoc Network (FANET) and Unmanned Aerial Vehicles (UAVs), commonly called aerial drones, focused on collecting data from firefighters on duty, in wildfires' context. This system provides the sensing of a fire perimeter, and monitors and follows the firefighters while they are on duty. This system is validated both through simulation and through real-life experiments performed with a FANET of three UAVs. The results obtained in these experiments show that the proposed algorithms have good performance, and that the corresponding system is able to support the firefighting mission in an autonomous approach.
引用
收藏
页数:6
相关论文
共 5 条
[1]  
Bryson Donald L., 2017, U.S. Patent, Patent No. [9,734,684, 9734684]
[2]  
Câmara D, 2014, 2014 IEEE CONFERENCE ON ANTENNA MEASUREMENTS & APPLICATIONS (CAMA)
[3]  
Chae H, 2015, IEEE ASME INT C ADV, P1575, DOI 10.1109/AIM.2015.7222767
[4]  
Hogg RW, 2002, 2002 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS, P3850, DOI 10.1109/ROBOT.2002.1014321
[5]   An Intelligent Strategy for Tactical Movements of UAVs in Disaster Scenarios [J].
Sanchez-Garcia, J. ;
Garcia-Campos, J. M. ;
Toral, S. L. ;
Reina, D. G. ;
Barrero, F. .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2016,