Design and implementation of UAV-enabled flying access points

Chang, Brian Y.; Chen, Y. Chieh; Liao, Kang; Liu, Meng Hsueh; Sio, Chon-Hou; Wang, Li-Chun

doi:10.1109/wocc.2018.8372714

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…In centralized management, the network connectivity is managed by cluster heads, sink nodes, or a ground control station (fixed or mobile) (Sanchez-iborra, 2016;Shi et al, 2019). For a centralized coordination network, in general, it is necessary that the manager node has line of sight with others network nodes or, at least, can communicate with cluster head nodes, sink nodes, or controllers (Chang et al, 2018). In distributed management, the nodes themselves are responsible for establishing and managing their connections (Meng et al, 2017), while maintaining connectivity between them.…”

Section: Proposed Classification For Multi-uav Communications Solutionsmentioning

confidence: 99%

Performance Evaluation of Different ToS Using Heterogeneous Communication Interfaces in FANETs

Ribeiro

Müller

Becker

2022

Front. Future Transp.

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The use of different types-of-services (ToS), such as voice, data, and video, has become increasingly present in the execution of applications involving networks composed of multiple UAVs. These applications usually require the UAVs to share different ToS in a dynamic and ad-hoc manner, such that they can support the execution of cooperative/collaborative tasks. The use of heterogeneous communication has showed gains in maintaining the connection among highly mobile nodes, while increasing the reliable transmission of data, as is necessary in MANETS, VANETs and, more recently, FANETs. The aim of this paper is to present a performance evaluation of a heterogeneous interface manager (IM), which applies a heuristic to choose the best among several single- and multi-band wireless communication interfaces, including IEEE 802.11n, IEEE 802.11p, IEEE 802.11ac, and IEEE 802.11ax. Simulated scenarios with three, five, and eight UAV nodes are developed by integrating NS-3 and Gazebo simulation tools. The IM performance is analyzed by applying different numbers of interfaces and comparing with interfaces applied homogeneously by defining two set of results, in terms of application and MAC and PHY metrics, respectively. Finally, we also evaluate the associated performance, considering voice, data, and video streaming ToS. The results indicate that the combination of different interfaces has a very powerful effect on maintaining or increasing the communication intensity.

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Section: Proposed Classification For Multi-uav Communications Solutionsmentioning

confidence: 99%

Performance Evaluation of Different ToS Using Heterogeneous Communication Interfaces in FANETs

Ribeiro

Müller

Becker

2022

Front. Future Transp.

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“…In [ 29 ], the authors developed a communication system that divides UAVs into cluster heads and members of the cluster. The cluster head UAVs are equipped with interfaces of LTE and WiFi technologies in access point (AP) mode, and the members of the cluster are equipped only with WiFi interfaces in this mode.…”

Section: Related Workmentioning

confidence: 99%

Communication Interface Manager for Improving Performance of Heterogeneous UAV Networks

Ribeiro

Müller

Becker

2021

Sensors

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Exchanging messages with stable connections in missions composed of multiple unmanned aerial vehicles (UAV) remains a challenge. The variations in UAV distances from each other, considering their individual trajectories, and the medium dynamic factors are important points to be addressed.In this context, to increase the stability of UAV-to-UAV (U2U) communication with link quality, this paper presents an interface manager (IM) that is capable of improving communication in multi-UAV networks.Given a predefined set of available individual wireless interfaces, the proposed IM dynamically defines the best interface for sending messages based on on-flight conditions sensed and calculated dynamically from the wireless medium. Different simulation scenarios are generated using a complex and realistic experimental setup composed of traditional simulators such as NS-3, Gazebo, and GzUAV. IEEE 802.11n 2.4 GHz and 802.11p 5 GHz interfaces are used for the IM selection. The IM performance is evaluated in terms of metrics from the medium-access-control (MAC) and physical layers, which aim to improve and maintain the connectivity between the UAVs during the mission, and from the application layer, which targets the reliability in the delivery of messages. The obtained results show that compared with the cases where a single interface is used, the proposed IM is able to increase the network throughput and presents the best proportion of transmitted and received packets, reception power (−60 dBm to −75 dBm), and loss (−80 dB to −85 dB), resulting in a more efficient and stable network connections.

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“…Em [19]é apresentado um sistema de comunicação dividindo os UAVs em cluster-heads e membros do cluster. Os UAVs cluster-head são equipados por interfaces de tecnologias LTE e WiFi em modo AP (Access Point) e os membros do cluster são equipados unicamente com interfaces WiFi em modo estação.…”

Section: Trabalhos Relacionadosunclassified

Gerenciamento de interfaces para prover comunicação heterogênea em redes compostas por múltiplos UAVs

Ribeiro¹,

Müller²,

Becker³

2020

Anais Estendidos Do X Simpósio Brasileiro De Engenharia De Sistemas Computacionais (SBESC Estendido 2020)

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Manter a conectividade em voo entre múltiplos UAVs e um grande desafio técnico. Porém, muitas vezes, isso se torna indispensável para o sucesso das tarefas e alcance dos objetivos de uma missão. Nesse contexto, visando ampliar a confiabilidade na entrega de mensagens, o presente artigo propõe um sistema gerenciador de interfaces capaz de prover uma comunicação heterogênea em redes multi-UAVs. Esse sistema é constituído por uma arvore de decisão que, a partir de parâmetros sensoriados dinamicamente pelo meio (vazão da rede, RSSI e SNR), escolhe qual interface de comunicação emprega uma maior confiabilidade nas conexões disponíveis. Cenários de simulação foram gerados utilizando as ferramentas NS-3 e SUMO, empregando o gerenciador com as interfaces IEEE 802.11n 2.4 GHz e 802.11p 5 GHz. A performance do gerenciador e avaliada em termos de vazão de rede, quantidade de pacotes enviados/recebidos, RSSI, intensidade de ruído recebido e a relação sinal-ruido. Em comparação ao desempenho obtido pelas interfaces aplicadas de forma homogênea, o gerenciador de interfaces proposto apresentou uma menor flutuação de desempenho na vazão, mesmo variando as classes de acesso das mensagens a serem enviadas (AC BE, AC BK, AC VI, AC VO). Isso implicou em maiores taxas de vazão da rede, maior quantidade de pacotes recebidos, menor quantidade de pacotes perdidos e uma melhor relação sinal-ruído, contribuindo para obtenção de conexões mais estáveis.

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Design and implementation of UAV-enabled flying access points

Cited by 3 publications

References 4 publications

Performance Evaluation of Different ToS Using Heterogeneous Communication Interfaces in FANETs

Performance Evaluation of Different ToS Using Heterogeneous Communication Interfaces in FANETs

Communication Interface Manager for Improving Performance of Heterogeneous UAV Networks

Gerenciamento de interfaces para prover comunicação heterogênea em redes compostas por múltiplos UAVs

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