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Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks
Aerial ad-hoc networks have the potential to enable smart services while maintaining communication between the ground system and unmanned aerial vehicles (UAV). Previous research has focused on enabling aerial data-centric smart services while integrating the benefits of aerial objects such as UAVs...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308874/ https://www.ncbi.nlm.nih.gov/pubmed/32498459 http://dx.doi.org/10.3390/s20113160 |
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author | Kumar, Kirshna Kumar, Sushil Kaiwartya, Omprakash Sikandar, Ajay Kharel, Rupak Mauri, Jaime Lloret |
author_facet | Kumar, Kirshna Kumar, Sushil Kaiwartya, Omprakash Sikandar, Ajay Kharel, Rupak Mauri, Jaime Lloret |
author_sort | Kumar, Kirshna |
collection | PubMed |
description | Aerial ad-hoc networks have the potential to enable smart services while maintaining communication between the ground system and unmanned aerial vehicles (UAV). Previous research has focused on enabling aerial data-centric smart services while integrating the benefits of aerial objects such as UAVs in hostile and non-hostile environments. Quality of service (QoS) provisioning in UAV-assisted communication is a challenging research theme in aerial ad-hoc networks environments. Literature on aerial ad hoc networks lacks cooperative service-oriented modeling for distributed network environments, relying on costly static base station-oriented centralized network environments. Towards this end, this paper proposes a quality of service provisioning framework for a UAV-assisted aerial ad hoc network environment (QSPU) focusing on reliable aerial communication. The UAV’s aerial mobility and service parameters are modelled considering highly dynamic aerial ad-hoc environments. UAV-centric mobility models are utilized to develop a complete aerial routing framework. A comparative performance evaluation demonstrates the benefits of the proposed aerial communication framework. It is evident that QSPU outperforms the state-of-the-art techniques in terms of a number of service-oriented performance metrics in a UAV-assisted aerial ad-hoc network environment. |
format | Online Article Text |
id | pubmed-7308874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73088742020-06-25 Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks Kumar, Kirshna Kumar, Sushil Kaiwartya, Omprakash Sikandar, Ajay Kharel, Rupak Mauri, Jaime Lloret Sensors (Basel) Article Aerial ad-hoc networks have the potential to enable smart services while maintaining communication between the ground system and unmanned aerial vehicles (UAV). Previous research has focused on enabling aerial data-centric smart services while integrating the benefits of aerial objects such as UAVs in hostile and non-hostile environments. Quality of service (QoS) provisioning in UAV-assisted communication is a challenging research theme in aerial ad-hoc networks environments. Literature on aerial ad hoc networks lacks cooperative service-oriented modeling for distributed network environments, relying on costly static base station-oriented centralized network environments. Towards this end, this paper proposes a quality of service provisioning framework for a UAV-assisted aerial ad hoc network environment (QSPU) focusing on reliable aerial communication. The UAV’s aerial mobility and service parameters are modelled considering highly dynamic aerial ad-hoc environments. UAV-centric mobility models are utilized to develop a complete aerial routing framework. A comparative performance evaluation demonstrates the benefits of the proposed aerial communication framework. It is evident that QSPU outperforms the state-of-the-art techniques in terms of a number of service-oriented performance metrics in a UAV-assisted aerial ad-hoc network environment. MDPI 2020-06-02 /pmc/articles/PMC7308874/ /pubmed/32498459 http://dx.doi.org/10.3390/s20113160 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kumar, Kirshna Kumar, Sushil Kaiwartya, Omprakash Sikandar, Ajay Kharel, Rupak Mauri, Jaime Lloret Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks |
title | Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks |
title_full | Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks |
title_fullStr | Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks |
title_full_unstemmed | Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks |
title_short | Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks |
title_sort | internet of unmanned aerial vehicles: qos provisioning in aerial ad-hoc networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308874/ https://www.ncbi.nlm.nih.gov/pubmed/32498459 http://dx.doi.org/10.3390/s20113160 |
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