The Energy-Aware Multi-UAV Dispatch and Handoff Algorithm for Maximizing the Event Communication Time in Disasters

For handling the broken-down communication infrastructure when a disaster event happens, this paper proposes to dispatch the unmanned aerial vehicle (UAV) to the disaster area as the relay node, which further forms a Flying Ad hoc Network (FANET). Since the UAV only owns limited energy and a disaste...

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Main Authors: Ing-Chau Chang, Chi-Sheng Liao, Chin-En Yen
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/3/1054
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author Ing-Chau Chang
Chi-Sheng Liao
Chin-En Yen
author_facet Ing-Chau Chang
Chi-Sheng Liao
Chin-En Yen
author_sort Ing-Chau Chang
collection DOAJ
description For handling the broken-down communication infrastructure when a disaster event happens, this paper proposes to dispatch the unmanned aerial vehicle (UAV) to the disaster area as the relay node, which further forms a Flying Ad hoc Network (FANET). Since the UAV only owns limited energy and a disaster event may need multiple UAVs to cover its area, an efficient multi-UAV dispatch algorithm is critical to recover the communication link of the disaster area. In this paper, we adopt the mobile ground control station (GCS) to transport UAVs to the boundary of the disaster area first. According to the UAV energy consumption rate during flight and two communication modes, the UAV charging progress, and the number of required UAVs of the event, the mobile GCS then executes the proposed energy-aware multi-UAV dispatch algorithm (EAMUD) to dispatch multiple UAVs to this disaster area for building the FANET. Hence, the broken-down link in the disaster area is recovered after the FANET connects to nearby network infrastructure. Further, we propose the multi-UAV handoff scheme and exception handling processes to replace energy-exhausted UAVs for maximizing the event communication time of the disaster event. Finally, we execute simulations for related work and four EAMUD variants under different parameter values in the real scenario. These results exhibit that EAMUD with the Postpone method (EAMUD-P) achieves the highest event communication time among all these schemes.
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spelling doaj.art-60e0e87ed37543cca77dc86043b5609f2023-12-03T14:32:15ZengMDPI AGApplied Sciences2076-34172021-01-01113105410.3390/app11031054The Energy-Aware Multi-UAV Dispatch and Handoff Algorithm for Maximizing the Event Communication Time in DisastersIng-Chau Chang0Chi-Sheng Liao1Chin-En Yen2Department of Computer Science and Information Engineering, National Changhua University of Education, Changhua 50007, TaiwanDepartment of Computer Science and Information Engineering, National Changhua University of Education, Changhua 50007, TaiwanDepartment of Early Childhood Development and Education, Chaoyang University of Technology, Taichung 41349, TaiwanFor handling the broken-down communication infrastructure when a disaster event happens, this paper proposes to dispatch the unmanned aerial vehicle (UAV) to the disaster area as the relay node, which further forms a Flying Ad hoc Network (FANET). Since the UAV only owns limited energy and a disaster event may need multiple UAVs to cover its area, an efficient multi-UAV dispatch algorithm is critical to recover the communication link of the disaster area. In this paper, we adopt the mobile ground control station (GCS) to transport UAVs to the boundary of the disaster area first. According to the UAV energy consumption rate during flight and two communication modes, the UAV charging progress, and the number of required UAVs of the event, the mobile GCS then executes the proposed energy-aware multi-UAV dispatch algorithm (EAMUD) to dispatch multiple UAVs to this disaster area for building the FANET. Hence, the broken-down link in the disaster area is recovered after the FANET connects to nearby network infrastructure. Further, we propose the multi-UAV handoff scheme and exception handling processes to replace energy-exhausted UAVs for maximizing the event communication time of the disaster event. Finally, we execute simulations for related work and four EAMUD variants under different parameter values in the real scenario. These results exhibit that EAMUD with the Postpone method (EAMUD-P) achieves the highest event communication time among all these schemes.https://www.mdpi.com/2076-3417/11/3/1054unmanned aerial vehicle (UAV)mobile ground control stationenergy-aware multi-UAV dispatch and handoff algorithmVANETFANET
spellingShingle Ing-Chau Chang
Chi-Sheng Liao
Chin-En Yen
The Energy-Aware Multi-UAV Dispatch and Handoff Algorithm for Maximizing the Event Communication Time in Disasters
Applied Sciences
unmanned aerial vehicle (UAV)
mobile ground control station
energy-aware multi-UAV dispatch and handoff algorithm
VANET
FANET
title The Energy-Aware Multi-UAV Dispatch and Handoff Algorithm for Maximizing the Event Communication Time in Disasters
title_full The Energy-Aware Multi-UAV Dispatch and Handoff Algorithm for Maximizing the Event Communication Time in Disasters
title_fullStr The Energy-Aware Multi-UAV Dispatch and Handoff Algorithm for Maximizing the Event Communication Time in Disasters
title_full_unstemmed The Energy-Aware Multi-UAV Dispatch and Handoff Algorithm for Maximizing the Event Communication Time in Disasters
title_short The Energy-Aware Multi-UAV Dispatch and Handoff Algorithm for Maximizing the Event Communication Time in Disasters
title_sort energy aware multi uav dispatch and handoff algorithm for maximizing the event communication time in disasters
topic unmanned aerial vehicle (UAV)
mobile ground control station
energy-aware multi-UAV dispatch and handoff algorithm
VANET
FANET
url https://www.mdpi.com/2076-3417/11/3/1054
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