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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MDPI AG
2022-10-01
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Series: | Drones |
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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. |
first_indexed | 2024-03-09T19:08:33Z |
format | Article |
id | doaj.art-99de7bdaa2c14c57bbc52d71314642ca |
institution | Directory Open Access Journal |
issn | 2504-446X |
language | English |
last_indexed | 2024-03-09T19:08:33Z |
publishDate | 2022-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Drones |
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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