Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks

Non-terrestrial networks (NTNs) have recently attracted elevated levels of interest in large-scale and ever-growing wireless communication networks through the utilization of flying objects, e.g., satellites and unmanned aerial vehicles/drones (UAVs). Interestingly, the applications of UAV-assisted...

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Main Authors: Mahyar Nemati, Bassel Al Homssi, Sivaram Krishnan, Jihong Park, Seng W. Loke, Jinho Choi
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Drones
Subjects:
Online Access:https://www.mdpi.com/2504-446X/6/11/334
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author Mahyar Nemati
Bassel Al Homssi
Sivaram Krishnan
Jihong Park
Seng W. Loke
Jinho Choi
author_facet Mahyar Nemati
Bassel Al Homssi
Sivaram Krishnan
Jihong Park
Seng W. Loke
Jinho Choi
author_sort Mahyar Nemati
collection DOAJ
description Non-terrestrial networks (NTNs) have recently attracted elevated levels of interest in large-scale and ever-growing wireless communication networks through the utilization of flying objects, e.g., satellites and unmanned aerial vehicles/drones (UAVs). Interestingly, the applications of UAV-assisted networks are rapidly becoming an integral part of future communication services. This paper first overviews the key components of NTN while highlighting the significance of emerging UAV networks where for example, a group of UAVs can be used as nodes to exchange data packets and form a flying ad hoc network (FANET). In addition, both existing and emerging applications of the FANET are explored. Next, it provides key recent findings and the state-of-the-art of FANETs while examining various routing protocols based on cross-layer modeling. Moreover, a modeling perspective of FANETs is provided considering delay-tolerant networks (DTN) because of the intermittent nature of connectivity in low-density FANETs, where each node (or UAV) can perform store-carry-and-forward (SCF) operations. Indeed, we provide a case study of a UAV network as a DTN, referred to as <i>DTN-assisted FANET</i>. Furthermore, applications of machine learning (ML) in FANET are discussed. This paper ultimately foresees future research paths and problems for allowing FANET in forthcoming wireless communication networks.
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spelling doaj.art-99de7bdaa2c14c57bbc52d71314642ca2023-11-24T04:22:02ZengMDPI AGDrones2504-446X2022-10-0161133410.3390/drones6110334Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc NetworksMahyar Nemati0Bassel Al Homssi1Sivaram Krishnan2Jihong Park3Seng W. Loke4Jinho Choi5School of Information and Technology, Deakin University, Geelong, VIC 3220, AustraliaSchool of Information and Technology, Deakin University, Geelong, VIC 3220, AustraliaSchool of Information and Technology, Deakin University, Geelong, VIC 3220, AustraliaSchool of Information and Technology, Deakin University, Geelong, VIC 3220, AustraliaSchool of Information and Technology, Deakin University, Geelong, VIC 3220, AustraliaSchool of Information and Technology, Deakin University, Geelong, VIC 3220, AustraliaNon-terrestrial networks (NTNs) have recently attracted elevated levels of interest in large-scale and ever-growing wireless communication networks through the utilization of flying objects, e.g., satellites and unmanned aerial vehicles/drones (UAVs). Interestingly, the applications of UAV-assisted networks are rapidly becoming an integral part of future communication services. This paper first overviews the key components of NTN while highlighting the significance of emerging UAV networks where for example, a group of UAVs can be used as nodes to exchange data packets and form a flying ad hoc network (FANET). In addition, both existing and emerging applications of the FANET are explored. Next, it provides key recent findings and the state-of-the-art of FANETs while examining various routing protocols based on cross-layer modeling. Moreover, a modeling perspective of FANETs is provided considering delay-tolerant networks (DTN) because of the intermittent nature of connectivity in low-density FANETs, where each node (or UAV) can perform store-carry-and-forward (SCF) operations. Indeed, we provide a case study of a UAV network as a DTN, referred to as <i>DTN-assisted FANET</i>. Furthermore, applications of machine learning (ML) in FANET are discussed. This paper ultimately foresees future research paths and problems for allowing FANET in forthcoming wireless communication networks.https://www.mdpi.com/2504-446X/6/11/334flying ad hoc networks (FANET)non-terrestrial networks (NTN)terrestrial networksunmanned aerial vehicles (UAV)
spellingShingle Mahyar Nemati
Bassel Al Homssi
Sivaram Krishnan
Jihong Park
Seng W. Loke
Jinho Choi
Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks
Drones
flying ad hoc networks (FANET)
non-terrestrial networks (NTN)
terrestrial networks
unmanned aerial vehicles (UAV)
title Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks
title_full Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks
title_fullStr Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks
title_full_unstemmed Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks
title_short Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks
title_sort non terrestrial networks with uavs a projection on flying ad hoc networks
topic flying ad hoc networks (FANET)
non-terrestrial networks (NTN)
terrestrial networks
unmanned aerial vehicles (UAV)
url https://www.mdpi.com/2504-446X/6/11/334
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