journal article·2022-08-22Open access

QoS/QoE in Flying Ad Hoc Networks Applied in Natural Disasters

Jesús Hamilton Ortiz Monedero, José Luis Arciniegas Herrera, Juan Carlos Cuellar Quiñones, Carlos Andrés Tavera Romero, Bazil Taha Ahmed

Applied Sciences· Volume 12· Issue 16

Abstract

In this work, a group of mechanisms are exposed to provide quality of experience in flying ad hoc networks using a swarm of drones in a natural disaster service. End-to-end video traffic was analyzed. The metrics used to experimentally measure QoE/QoS are: delay, jitter and packet loss. The experience quality was evaluated before the disaster (C00), at the moment (B00) and after the disaster (I00). The methodology used to perform the design was experimental, and the NS simulator was used to evaluate the behavior of the swarm of drones connected through a flying ad hoc network. To perform data analysis, treatment and repetitions related to video traffic, the response surface methodology (MSR) was used, which is a set of mathematical techniques in order to optimize the obtained responses. The composite core design (DCC) was also used as it was the best fit to our experiment due to its flexibility. Since the quality of the experience was evaluated at three moments, the quality of services was also analyzed with three metrics. The main contributions of the research are a mathematical model of the quality of the experience based on the quality of the service; an experiment design using the end-to-end NS simulator; a methodology for the mathematical and statistical analysis of the data obtained; an algorithm that allows, from service quality metrics, to obtain the quality of the experience for end-to-end video traffic; and a proposal for future work for data analysis in a physical environment and applied to the environmental sector.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Image and Video Quality Assessment · Advanced MIMO Systems Optimization · Telecommunications and Broadcasting Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Closemobile R&D Telecommunications LS, 28070 Madrid, Spain

Telematics Department, Universidad del Cauca, Popayán 190001, Colombia

Information and Communication Technologies Department, Universidad ICESI, Cali 760001, Colombia

COMBA R&D Laboratory, Faculty of Engineering, Universidad Santiago de Cali, Cali 760001, Colombia

Electronic and Communications Technology Department, Universidad Autónoma de Madrid, 28070 Madrid, Spain

Funding

the Telematics Engineering Group of the University of Cauca

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