AVENS - A Novel Flying Ad Hoc Network Simulator with Automatic Code Generation for Unmanned Aircraft System

Marconato, Emerson Alberto; Rodrigues, Marcos Vinícius; Pires, Rayner de Melo; Pigatto, Daniel Fernando; Filho, Luiz Carlos Querino; Pinto, Alex Sandro Roschildt; Branco, Kalinka Regina Lucas Jaquie Castelo

doi:10.24251/hicss.2017.760

Cited by 46 publications

(22 citation statements)

References 19 publications

(23 reference statements)

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“…[61] R&D, Gaming Film-making [99], Fire departments [100], Security Heli-X [40,97] Train, Ent Film-making [99], Fire departments [100], Security, etc. X-Plane [64,65,66,67] Design, R&D DJI [107], AeroVironment [108], Parrot [109], UAVNet Security AVENS [39] R&D UAVNet Security, Academic Curriculum UAVSim [29,42] R&D UAVNet Security, Academic Curriculum RAVEN [70] UAV Swarms Swarm for Agriculture [102], Military [103], Humanitarian [105], Drone Farming [110], etc. RotorS [73] Path Planning Military [103], Humanitarian UAVNet [105], Drone Farming [110], Film-making [99], Fire departments [100], Sunflower Labs [101], etc.…”

Section: Discussionmentioning

confidence: 99%

“…Besides, numerous recent attacks on UAVs and newly introduced Flying Ad-Hoc Network (FANET) protocols have caused industrialists, researchers and hobbyists to simulate and test various UAV models, their networks, and flight dynamics of UAV flights. Some of these simulators and testbeds have been created using the OMNeT++ network simulator [29,39], that enables UAVNet simulation. Several of the popular networking simulators do not model multi-UAV systems.…”

Section: Background and Related Workmentioning

confidence: 99%

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Application specific drone simulators: Recent advances and challenges

Mairaj

Baba

Javaid

2019

Simulation Modelling Practice and Theory

107

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Over the past two decades, Unmanned Aerial Vehicles (UAVs), more commonly known as drones, have gained a lot of attention, and are rapidly becoming ubiquitous because of their diverse applications such as surveillance, disaster management, pollution monitoring, film-making, and military reconnaissance. However, incidents such as fatal system failures, malicious attacks, and disastrous misuses have raised concerns in the recent past. Security and viability concerns in drone-based applications are growing at an alarming rate. Besides, UAV networks (UAVNets) are distinctive from other ad-hoc networks. Therefore, it is necessary to address these issues to ensure proper functioning of these UAVs while keeping their uniqueness in mind. Furthermore, adequate security and functionality require the consideration of many parameters that may include an accurate cognizance of the working mechanism of vehicles, geographical and weather conditions, and UAVNet communication. This is achievable by creating a simulator that includes these aspects. A performance evaluation through relevant drone simulator becomes indispensable procedure to test features, configurations, and designs to demonstrate superiority to comparative schemes and suitability. Thus, it becomes of paramount importance to establish the credibility of simulation results by investigating the merits and limitations of each simulator prior to selection. Based on this motivation, we present a comprehensive survey of current drone simulators. In addition, open research issues and research challenges are discussed and presented.

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Section: Discussionmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Application specific drone simulators: Recent advances and challenges

Mairaj

Baba

Javaid

2019

Simulation Modelling Practice and Theory

107

View full text Add to dashboard Cite

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“…Marconato et al [21] proposed a hybrid software-based simulator called Aerial Vehicle Network Simulator (AVENS). This simulator merges X-Plane and OMNeT++ integrated with LARISSA (Layered architecture model for interconnection of systems in UAS).…”

Section: Uav/drone Simulatorsmentioning

confidence: 99%

A New FANET Simulator for Managing Drone Networks and Providing Dynamic Connectivity

et al. 2020

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In the last decade, the attention on unmanned aerial vehicles has rapidly grown, due to their ability to help in many human activities. Among their widespread benefits, one of the most important uses regards the possibility of distributing wireless connectivity to many users in a specific coverage area. In this study, we focus our attention on these new kinds of networks, called flying ad-hoc networks. As stated in the literature, they are suitable for all emergency situations where the traditional networking paradigm may have many issues or difficulties to be implemented. The use of a software simulator can give important help to the scientific community in the choice of the right UAV/drone parameters in many different situations. In particular, in this work, we focus our main attention on the new ways of area covering and human mobility behaviors with the introduction of a UAV/drone behavior model to take into account also drones energetic issues. A deep campaign of simulations was carried out to evaluate the goodness of the proposed simulator illustrating how it works.

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“…• Integração entre um simulador de voo e leis da física e o simulador de redes, com geração automática de códigos (MARCONATO et al, 2017);…”

Section: Contribuiçõesunclassified

“…Dada a restrição da utilização de uma comunicação infraestruturada, a alternativa para um sistema multi-VANTs é estabelecer uma rede ad hoc entre as aeronaves. Deste modo, as aeronaves comunicam-se entre si e a conexão do grupo à estação (ou estações) de base pode ser feita por intermédio de apenas um dos integrantes do grupo ( MARCONATO et al, 2016;PIRES et al, 2016;MARCONATO et al, 2017) e este é o termo utilizado no decorrer deste texto.…”

Section: A Rede Fanet -Flying Ad Hoc Networkunclassified

Análise da disseminação de dados em redes FANET

Pires¹

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Unmanned aerial vehicles (UAVs) have been showing increasing notoriety in the global aviation scene, both on their development and on the different applications for these vehicles, due to their high potential of use. In many applications, using multiple UAVs has several advantages over a single UAV. However, a cluster of UAVs may experience issues inherent to wireless communication, which may lead to new complications such as making mission coordination and cooperative execution impractible. In a non-collaborative scenario, UAVs with some level of autonomy which share the same airspace should also be able to exchange information among themselves, especially positioning and flight path information, and may also be susceptible to wireless communication disturbances. These robots have to use the network fairly and should communicate under restrictions, appropriately adjusting techniques that disseminate information and that mitigate broadcasts, in order to balance the advantages and disadvantages of being a group. This Ph.D. research investigates how broadcasting is used to disseminate data throughout ad hoc mobile networks between UAVs called Flying Ad hoc Networks (FANETs). FANETs are a new paradigm that can overcome the mission constraints of single UAVs. FANETs are composed of several UAVs that cooperate to accomplish a critical mission (e.g., hazardous area monitoring). Aiming to maintain UAVs' coordination, all aircraft must continuously retransmit or relay messages through the wireless channel to assure that every member knows the FANET status. However, when this message exchange is done blindly, it may cause the broadcast storm problem (BSP), leading the wireless medium to a dysfunctional state. Despite some efforts reported in the literature for providing general techniques to mitigate the broadcast storm problem, the challenge of aggregating new information or knowledge to receivers, instead of just spreading the information in the network, has received less attention. In this research, it has been proved that the broadcast storm problem causes network contention as the number of UAVs increases, and the innovative Dynamic Neighborhood-based Algorithm for the Broadcast Storm Problem (DNA-BSP) has been provided as a countermeasure, which was developed and validated based on computer simulations and outdoor experiments. It can mitigate the broadcast storm problem, which is a real challenge in FANETs, reducing message redundancy in more than 98%, and making message delivery 99,5% faster than in flooding scenario, outperforming classical broadcast storm mitigation techniques when applied in FANETs. Our detailed results can also guide future researches and provide useful insights for engineers planning and optimizing mission-critical mobile ad hoc network with support of UAVs.

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AVENS - A Novel Flying Ad Hoc Network Simulator with Automatic Code Generation for Unmanned Aircraft System

Abstract: Abstract

Cited by 46 publications

References 19 publications

Application specific drone simulators: Recent advances and challenges

Application specific drone simulators: Recent advances and challenges

A New FANET Simulator for Managing Drone Networks and Providing Dynamic Connectivity

Análise da disseminação de dados em redes FANET

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