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QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems

Jorge Souza et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · 2020

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Abstract The Flying Ad-hoc Network (FANET) networks have often operated in regions that are difficult to reach and have no fixed infrastructure. The use of devices such as Unmanned Aerial Vehicles (UAV) enable aerial networks to be created that are extremely fast, although there are no specific routing protocols for this type of network that can make communication more efficient among these devices. For this reason, this paper sets out a specific routing protocol for FANET networks that is designed for the discovery of routes among UAV devices. Evidence of the benefits of this strategy has been obtained through simulation by the Network Simulator version 2.

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APA 7

al, J. S. E. (2020). QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems. https://doi.org/10.1590/2179-10742020v19i11842

MLA

al, Jorge Souza et. "QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems." 2020. https://doi.org/10.1590/2179-10742020v19i11842.

Chicago

al, Jorge Souza et. 2020. "QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems.". https://doi.org/10.1590/2179-10742020v19i11842.

Harvard

al, J. S. E. 2020, QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems, Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo, available at: https://doi.org/10.1590/2179-10742020v19i11842 [Accessed 7 Aug. 2026].

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Title
QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems
Author / contributors
Jorge Souza et al
Publisher
Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
Publication year
2020
ISSN
2179-1074
ISSN
2179-1074
Language
English

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