Positioning Methods Based on Flying Network for Emergencies

被引:0
作者
Kirichek, Ruslan [1 ,2 ]
Truong Duy Dinh [1 ]
Van Dai Pham [1 ]
Zakharov, Maxim [1 ]
Duc Tran Le [3 ]
Koucheryavy, Andrey [1 ]
机构
[1] Bonch Bruevich St Petersburg State Univ Telecommu, Dept Commun Networks & Data Transmiss, 22 Prospekt Bolshevikov, St Petersburg, Russia
[2] Russian Acad Sci, VA Trapeznikov Inst Control Sci, 65 Profsoyuznaya St, Moscow, Russia
[3] Univ Sci & Technol, Informat Technol Fac, Univ Danang, 54 Nguyen Luong Bang, Danang, Vietnam
来源
2020 22ND INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): DIGITAL SECURITY GLOBAL AGENDA FOR SAFE SOCIETY! | 2020年
关键词
UAV; Flying Network; positioning; emergencies; Wi-Fi; rescue mission; COMMUNICATION;
D O I
10.23919/icact48636.2020.9061217
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Recently, unmanned aerial systems have emerged in different fields such as entertainment, military, Internet of Things, emergencies, etc. In these systems, unmanned aerial vehicles (UAVs) communicate with each other based on a flying network to provide services to customers such as live streaming, high-speed access point, etc. The mobility of UAVs can bring many advantages in emergency cases such as rescuing and searching victims in areas where the network infrastructure is not available. However, the crucial task needed to be done first is to locate the victims' coordinates. In this paper, we propose the positioning methods based on a flying network for emergencies by detecting the WiFi signals generated from victims' phones. A structure of UAV-swarms is considered to optimize the searching time. Considering proposed methods, the influence of the error of distance measurement and the number of received signals on the evaluation of the positioning process results is simulated.
引用
收藏
页码:245 / 250
页数:6
相关论文
共 15 条
[1]  
Chowdhury M. M. U., 2019, ARXIV190513406
[2]  
Erin-Ee-Lin Lau, 2007, 2007 International Conference on Convergence Information Technology - ICCIT '07, P1213, DOI 10.1109/ICCIT.2007.253
[3]  
Ho Y., 2015, P 1 WORKSHOP MICROAE, P3
[4]   Swarm of Public Unmanned Aerial Vehicles as a Queuing Network [J].
Kirichek, R. ;
Paramonov, A. ;
Koucheryavy, A. .
DISTRIBUTED COMPUTER AND COMMUNICATION NETWORKS, 2016, 601 :111-120
[5]  
Koucheryavy A., LECT NOTES COMPUTER, V9247, P299
[6]  
Koucheryavy A., 2018, INT C ULTRA MOD TELE, P1
[7]   Energy efficient device discovery for reliable communication in 5G-based IoT and BSNs using unmanned aerial vehicles [J].
Sharma, Vishal ;
Song, Fei ;
You, Ilsun ;
Atiquzzaman, Mohammed .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 97 :79-95
[8]  
Truong Duy Dinh, 2019, Distributed Computer and Communication Networks. 22nd International Conference, DCCN 2019. Revised Selected Papers. Lecture Notes in Computer Science (LNCS 11965), P479, DOI 10.1007/978-3-030-36614-8_37
[9]   Unmanned aerial system-assisted wilderness search and rescue mission [J].
Truong Duy Dinh ;
Pirmagomedov, Rustam ;
Van Dai Pham ;
Ahmed, Aram A. ;
Kirichek, Ruslan ;
Glushakov, Ruslan ;
Vladyko, Andrei .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2019, 15 (06)
[10]   Flying Network for Emergencies [J].
Truong Duy Dinh ;
Van Dai Pham ;
Kirichek, Ruslan ;
Koucheryavy, Andrey .
DISTRIBUTED COMPUTER AND COMMUNICATION NETWORKS (DCCN 2018), 2018, 919 :58-70