Flying ad hoc networks (FANET) test bed implementation

Bekmezci, İlker; Şen, İsmai̇l; Erkalkan, Ercan

doi:10.1109/rast.2015.7208426

Cited by 56 publications

(35 citation statements)

References 4 publications

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“…Because of those motivations, FANETs are to be considered a separate network family. In addition to the motivations provided by Hayat et al and Bekmezci et al to this matter, SWaP requirements are a further element that reinforces the differentiation among the aforementioned ad hoc network configurations. SWaP requirements are crucial when dealing with UAVs, which are small‐medium objects that typically rely on batteries for their functioning.…”

Section: Related Workmentioning

confidence: 95%

“…While the use of a single UAV can be considered a consolidate use case, the use of multiple units in swarm configurations still requires an active investigation, in order to identify and to solve the open issues. As pointed out in Bekmezci et al, communications, collision‐free, and seamless operations are the most challenging issues to be dealt with when thinking of a deployment of a massive number of UAVs. Currently, part of those issues have been limited by the implementation of strict national regulations all across Europe, in order to maintain the so‐called safety of flight levels .…”

Section: Introductionmentioning

confidence: 99%

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Reliable M2M/IoT data delivery from FANETs via satellite

Bacco

Colucci

Gotta

et al. 2018

Satell Commun Network

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Summary The use of unmanned aerial vehicles (UAVs) is rising in several application fields. This work deals with the communication challenges in UAV swarms, or flying ad hoc network (FANET), when taking into account non–line‐of‐sight scenarios. The use of satellites is a necessity in such operating conditions; thus, this work provides architectural considerations and performance assessments when several (FANETs) share an uplink random access satellite channel, fed with M2M/IoT traffic generated from on‐board sensors, to be reliably delivered to a remote ground destination.

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Section: Related Workmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Reliable M2M/IoT data delivery from FANETs via satellite

Bacco

Colucci

Gotta

et al. 2018

Satell Commun Network

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“…Unlike other types of adhoc networks, FANET architecture involves the communication of few UAVs with GCS or satellites and provides real-time communication that is independent of the infrastructure. Communication links between UAVs are essential for carrying out a military mission [135]; however, solutions that include these aspects have the range and implementation constraints. UAVNets/FANETs differ from other networks, in terms of speed, mobility, node-density, communication range, size, localization, computational power, and resource utilization [29,7,135].…”

Section: Uavnet Vs Traditional Networkmentioning

confidence: 99%

Application specific drone simulators: Recent advances and challenges

Mairaj

Baba

Javaid

2019

Simulation Modelling Practice and Theory

106

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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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“…A practical FANET testbed, build on top of Raspberry Pi c , that uses two WiFi connections on each drone (one for ad hoc network forwarding and the other for broadcasted control instructions is described in Bekmezci et al (2015). Another FANET implementation that consists of quadcopters for disaster assistance, search and rescue and aerial monitoring as well as the design challenges are presented in Yanmaz et al (2018) 2.3 Routing protocols OLSR (Optimized Link State Routing) protocol proposed in Jacquet et al (2001) is an optimization of link state protocol.…”

Section: Flying Ad Hoc Networkmentioning

confidence: 99%

Flying Ad Hoc Network for Emergency Applications Connected to a Fog System

Radu

Cretu

Parrein

et al. 2018

Lecture Notes on Data Engineering and Communications Technologies

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The main objective of this paper is to improve the efficiency of vegetation fire emergency interventions by using MP-OLSR routing protocol for data transmission in Flying Ad Hoc NETwork (FANET) applications. The presented conceptual system design could potentially increase the rescuing chances of people caught up in natural disaster environments, the final goal being to provide public safety services to interested parties. The proposed system architecture model relies on emerging technologies (Internet of Things & Fog, Smart Cities, Mobile Ad Hoc Networks) and actual concepts available in the scientific literature. The two main components of the system consist in a FANET, capable of collecting fire detection data from GPS and video enabled drones, and a Fog/Edge node that allows data collection and analysis, but also provides public safety services for interested parties. The sensing nodes forward data packets through multiple mobile hops until they reach the central management system. A proof of concept based on MP-OLSR routing protocol for efficient data transmission in FANET scenarios and possible public safety rescuing services is given.

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Flying ad hoc networks (FANET) test bed implementation

Cited by 56 publications

References 4 publications

Reliable M2M/IoT data delivery from FANETs via satellite

Reliable M2M/IoT data delivery from FANETs via satellite

Application specific drone simulators: Recent advances and challenges

Flying Ad Hoc Network for Emergency Applications Connected to a Fog System

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