Overlap Avoidance of Mobility Models for Multi-UAVs Reconnaissance

As avionics technologies have advanced, it is possible to perform many aerial applications which demand cooperative work with multiple Unmanned Aerial Vehicles (UAVs). Since one of the basic applications is reconnaissance, we focus on efficient cooperative reconnaissance. While random mobility model...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Yong-il Jo, Seonah Lee, Kyong Hoon Kim
التنسيق: مقال
اللغة:English
منشور في: MDPI AG 2020-06-01
سلاسل:Applied Sciences
الموضوعات:
الوصول للمادة أونلاين:https://www.mdpi.com/2076-3417/10/11/4051
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author Yong-il Jo
Seonah Lee
Kyong Hoon Kim
author_facet Yong-il Jo
Seonah Lee
Kyong Hoon Kim
author_sort Yong-il Jo
collection DOAJ
description As avionics technologies have advanced, it is possible to perform many aerial applications which demand cooperative work with multiple Unmanned Aerial Vehicles (UAVs). Since one of the basic applications is reconnaissance, we focus on efficient cooperative reconnaissance. While random mobility models are useful for multi-UAVs reconnaissance, they suffer from overlapped reconnaissance problem that two or more UAVs reconnoiter a region at the same time. The overlapped reconnaissance also leads to imbalanced reconnaissance in which an area scanned by one UAV may be re-visited soon by the other UAV. Thus, we provide overlap avoidance schemes for the existing reconnaissance mobility models and enhance their performance. Throughout the simulations, we evaluate the effect of applying overlap avoidance in the existing models. The simulation results show that overlapped area is reduced by up to 20 times and 90%-coverage reaching time is improved by up to 19%.
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spelling doaj.art-720975f14d3c400981ac901b9df1e1322023-11-20T03:32:23ZengMDPI AGApplied Sciences2076-34172020-06-011011405110.3390/app10114051Overlap Avoidance of Mobility Models for Multi-UAVs ReconnaissanceYong-il Jo0Seonah Lee1Kyong Hoon Kim2Department of Informatics, Gyeongsang National University, Jinju-daero, Jinju, Gyeongsangnamdo 52828, KoreaDepartment of Informatics, Gyeongsang National University, Jinju-daero, Jinju, Gyeongsangnamdo 52828, KoreaSchool of Computer Science and Engineering, Kyungpook National University, Daehak-ro, Buk-gu, Daegu 41566, KoreaAs avionics technologies have advanced, it is possible to perform many aerial applications which demand cooperative work with multiple Unmanned Aerial Vehicles (UAVs). Since one of the basic applications is reconnaissance, we focus on efficient cooperative reconnaissance. While random mobility models are useful for multi-UAVs reconnaissance, they suffer from overlapped reconnaissance problem that two or more UAVs reconnoiter a region at the same time. The overlapped reconnaissance also leads to imbalanced reconnaissance in which an area scanned by one UAV may be re-visited soon by the other UAV. Thus, we provide overlap avoidance schemes for the existing reconnaissance mobility models and enhance their performance. Throughout the simulations, we evaluate the effect of applying overlap avoidance in the existing models. The simulation results show that overlapped area is reduced by up to 20 times and 90%-coverage reaching time is improved by up to 19%.https://www.mdpi.com/2076-3417/10/11/4051UAVmobility modelreconnaissanceoverlap avoidance
spellingShingle Yong-il Jo
Seonah Lee
Kyong Hoon Kim
Overlap Avoidance of Mobility Models for Multi-UAVs Reconnaissance
Applied Sciences
UAV
mobility model
reconnaissance
overlap avoidance
title Overlap Avoidance of Mobility Models for Multi-UAVs Reconnaissance
title_full Overlap Avoidance of Mobility Models for Multi-UAVs Reconnaissance
title_fullStr Overlap Avoidance of Mobility Models for Multi-UAVs Reconnaissance
title_full_unstemmed Overlap Avoidance of Mobility Models for Multi-UAVs Reconnaissance
title_short Overlap Avoidance of Mobility Models for Multi-UAVs Reconnaissance
title_sort overlap avoidance of mobility models for multi uavs reconnaissance
topic UAV
mobility model
reconnaissance
overlap avoidance
url https://www.mdpi.com/2076-3417/10/11/4051
work_keys_str_mv AT yongiljo overlapavoidanceofmobilitymodelsformultiuavsreconnaissance
AT seonahlee overlapavoidanceofmobilitymodelsformultiuavsreconnaissance
AT kyonghoonkim overlapavoidanceofmobilitymodelsformultiuavsreconnaissance