Cooperative UAV Scheme for Enhancing Video Transmission and Global Network Energy Efficiency
Collaboration between multiple Unmanned Aerial Vehicles (UAVs) to set up a Flying Ad Hoc Network (FANET) is a growing trend since future applications claim for more autonomous and rapid deployable systems. The user experience on watching videos transmitted over FANETs should always be satisfactory e...
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doaj-b2e636648e78416b8eb8d5b3721b5dd52020-11-24T22:57:26ZengMDPI AGSensors1424-82202018-11-011812415510.3390/s18124155s18124155Cooperative UAV Scheme for Enhancing Video Transmission and Global Network Energy EfficiencyPedro Cumino0Wellington Lobato Junior1Thais Tavares2Hugo Santos3Denis Rosário4Eduardo Cerqueira5Leandro A. Villas6Mario Gerla7Computer Science Faculty, Federal University of Pará (UFPA), Belém 66075-110, BrazilComputer Science Faculty, Federal University of Pará (UFPA), Belém 66075-110, BrazilComputer Science Faculty, Federal University of Pará (UFPA), Belém 66075-110, BrazilComputer Science Faculty, Federal University of Pará (UFPA), Belém 66075-110, BrazilComputer Science Faculty, Federal University of Pará (UFPA), Belém 66075-110, BrazilComputer Science Faculty, Federal University of Pará (UFPA), Belém 66075-110, BrazilInstitute of Computing, University of Campinas (UNICAMP), Campinas 13083-970, BrazilComputer Science Department, University of California Los Angeles (UCLA), Los Angeles, CA 90095-1596, USACollaboration between multiple Unmanned Aerial Vehicles (UAVs) to set up a Flying Ad Hoc Network (FANET) is a growing trend since future applications claim for more autonomous and rapid deployable systems. The user experience on watching videos transmitted over FANETs should always be satisfactory even under influence of topology changes caused by the energy consumption of UAVs. In addition, the FANET must keep the UAVs cooperating as much as possible during a mission. However, one of the main challenges in FANET is how to mitigate the impact of limited energy resources of UAVs on the FANET operation in order to monitor the environment for a long period of time. In this sense, UAV replacement is required in order to avoid the premature death of nodes, network disconnections, route failures, void areas, and low-quality video transmissions. In addition, decision-making must take into account energy consumption associated with UAV movements, since they are generally quite energy-intensive. This article proposes a cooperative UAV scheme for enhancing video transmission and global energy efficiency called VOEI. The main goal of VOEI is to maintain the video with QoE support while supporting the nodes with a good connectivity quality level and flying for a long period of time. Based on an Software Defined Network (SDN) paradigm, the VOEI assumes the existence of a centrailized controller node to compute reliable and energy-efficiency routes, as well as detects the appropriate moment for UAV replacement by considering global FANET context information to provide energy-efficiency operations. Based on simulation results, we conclude that VOEI can effectively mitigate the energy challenges of FANET, since it provides energy-efficiency operations, avoiding network death, route failure, and void area, as well as network partitioning compared to state-of-the-art algorithm. In addition, VOEI delivers videos with suitable Quality of Experience (QoE) to end-users at any time, which is not achieved by the state-of-the-art algorithm.https://www.mdpi.com/1424-8220/18/12/4155energy-awareenergy-efficiencyUAV replacementUAV coordination |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pedro Cumino Wellington Lobato Junior Thais Tavares Hugo Santos Denis Rosário Eduardo Cerqueira Leandro A. Villas Mario Gerla |
spellingShingle |
Pedro Cumino Wellington Lobato Junior Thais Tavares Hugo Santos Denis Rosário Eduardo Cerqueira Leandro A. Villas Mario Gerla Cooperative UAV Scheme for Enhancing Video Transmission and Global Network Energy Efficiency Sensors energy-aware energy-efficiency UAV replacement UAV coordination |
author_facet |
Pedro Cumino Wellington Lobato Junior Thais Tavares Hugo Santos Denis Rosário Eduardo Cerqueira Leandro A. Villas Mario Gerla |
author_sort |
Pedro Cumino |
title |
Cooperative UAV Scheme for Enhancing Video Transmission and Global Network Energy Efficiency |
title_short |
Cooperative UAV Scheme for Enhancing Video Transmission and Global Network Energy Efficiency |
title_full |
Cooperative UAV Scheme for Enhancing Video Transmission and Global Network Energy Efficiency |
title_fullStr |
Cooperative UAV Scheme for Enhancing Video Transmission and Global Network Energy Efficiency |
title_full_unstemmed |
Cooperative UAV Scheme for Enhancing Video Transmission and Global Network Energy Efficiency |
title_sort |
cooperative uav scheme for enhancing video transmission and global network energy efficiency |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-11-01 |
description |
Collaboration between multiple Unmanned Aerial Vehicles (UAVs) to set up a Flying Ad Hoc Network (FANET) is a growing trend since future applications claim for more autonomous and rapid deployable systems. The user experience on watching videos transmitted over FANETs should always be satisfactory even under influence of topology changes caused by the energy consumption of UAVs. In addition, the FANET must keep the UAVs cooperating as much as possible during a mission. However, one of the main challenges in FANET is how to mitigate the impact of limited energy resources of UAVs on the FANET operation in order to monitor the environment for a long period of time. In this sense, UAV replacement is required in order to avoid the premature death of nodes, network disconnections, route failures, void areas, and low-quality video transmissions. In addition, decision-making must take into account energy consumption associated with UAV movements, since they are generally quite energy-intensive. This article proposes a cooperative UAV scheme for enhancing video transmission and global energy efficiency called VOEI. The main goal of VOEI is to maintain the video with QoE support while supporting the nodes with a good connectivity quality level and flying for a long period of time. Based on an Software Defined Network (SDN) paradigm, the VOEI assumes the existence of a centrailized controller node to compute reliable and energy-efficiency routes, as well as detects the appropriate moment for UAV replacement by considering global FANET context information to provide energy-efficiency operations. Based on simulation results, we conclude that VOEI can effectively mitigate the energy challenges of FANET, since it provides energy-efficiency operations, avoiding network death, route failure, and void area, as well as network partitioning compared to state-of-the-art algorithm. In addition, VOEI delivers videos with suitable Quality of Experience (QoE) to end-users at any time, which is not achieved by the state-of-the-art algorithm. |
topic |
energy-aware energy-efficiency UAV replacement UAV coordination |
url |
https://www.mdpi.com/1424-8220/18/12/4155 |
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