Open Access

ARTICLE

QoS in FANET Business and Swarm Data

Jesús Hamilton Ortiz¹, Carlos Andrés Tavera Romero^2,*, Bazil Taha Ahmed³, Osamah Ibrahim Khalaf⁴

1 Close Mobile R&D Telecommunications LS, Madrid, España
2 COMBA I+D Research Group of Universidad Santiago de Cali, Cali, Colombia
3 Autonomous of Madrid University, Madrid, España
4 Al-Nahrain Nanorenewable Energy Research Center in Al-Nahrain University, Bagdad, Iraq

* Corresponding Author: Carlos Andrés Tavera Romero. Email:

(This article belongs to the Special Issue: Application of Big Data Analytics in the Management of Business)

Computers, Materials & Continua 2022, 72(1), 1877-1899. https://doi.org/10.32604/cmc.2022.023796

Received 22 September 2021; Accepted 04 January 2022; Issue published 24 February 2022

Abstract

This article shows the quality of services in a wireless swarm of drones that form an ad hoc network between them Fly Ad Hoc Networks (FANET). Each drone has the ability to send and receive information (like a router); and can behave as a hierarchical node whit the intregration of three protocols: Multiprotocol Label Switch (MPLS), Fast Hierarchical AD Hoc Mobile (FHAM) and Internet Protocol version 6 (IPv6), in conclusion MPLS + FHAM + IPv6. The metrics analyzed in the FANET are: delay, jitter, throughput, lost and sent packets/received. Testing process was carried out with swarms composed of 10, 20, 30 and 40 units; In this work, the stage with 40 drones was analyzed showing registration processes, and sent messages sequences between different drones that were part of the same swarm. A special analysis about the traffic between drones (end-to-end) was carried out, as well as the possible security flaws in each drone and the current status and future trends in real services. Regarding future trends, in a real environment, we took as a starting point, metrics results obtained in the simulation (positive according to the obtained results). These results gave us a clear vision of how the network will behave in a real environment with the aim to carry out the experiment on a physical level in the near future. This work also shows the experience quality from the service quality metrics obtained through a mathematical model. This quality of experience model will allow us to use it objectively in the agricultural sector, which is a great interest area and is where we are working with drones. Finally in this article we show our advances for a business model applied to the aforementioned agricultural sector, as well as the data analysis and services available to the end customer. These services available to the end customer have been classified into a basic, medium, advanced and plus level.

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Keywords

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