UAV Communication Networks Issues: A Review

Nawaz, Haque; Ali, Husnain Mansoor; Laghari, Asif Ali

doi:10.1007/s11831-020-09418-0

Cited by 105 publications

(32 citation statements)

References 67 publications

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“…The communication in FANET is broadly classified as UAV-to-UAV (U2U) and UAV-Infrastructure communications (U2I), as shown in Figure 9. In the FANETs, the nodes communicate with each other using multi-hop communication, where one node is linked or connected to the infrastructure and the rest has multi-hop communication [47,48]. Therefore, it is not necessary that all UAV flights should communicate to the satellite or ground base station [49][50][51][52][53].…”

Section: Flying Ad-hoc Network (Fanet)mentioning

confidence: 99%

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Moving Ad Hoc Networks—A Comparative Study

Al-Absi

Sain

et al. 2021

Sustainability

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An ad hoc network is a wireless mobile communication network composed of a group of mobile nodes with wireless transceivers. It does not rely on preset infrastructure and is established temporarily. The mobile nodes of the network use their own wireless transceivers to exchange information; when the information is not within the communication range, other intermediate nodes can be used to relay to achieve communication. They can be widely used in environments that cannot be supported by wired networks or which require communication temporarily, such as military applications, sensor networks, rescue and disaster relief, and emergency response. In MANET, each node acts as a host and as a router, and the nodes are linked through wireless channels in the network. One of the scenarios of MANET is VANET; VANET is supported by several types of fixed infrastructure. Due to its limitations, this infrastructure can support some VANET services and provide fixed network access. FANET is a subset of VANET. SANET is one of the common types of ad hoc networks. This paper could serve as a guide and reference so that readers have a comprehensive and general understanding of wireless ad hoc networks and their routing protocols at a macro level with a lot of good, related papers for reference. However, this is the first paper that discusses the popular types of ad hoc networks along with comparisons and simulation tools for Ad Hoc Networks.

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Section: Flying Ad-hoc Network (Fanet)mentioning

confidence: 99%

“…Sustainability 2021, 13, x FOR PEER REVIEW 12 of 33 [48]. Therefore, it is not necessary that all UAV flights should communicate to the satellite or ground base station [49][50][51][52][53].…”

Section: Flying Ad-hoc Network (Fanet)mentioning

confidence: 99%

Moving Ad Hoc Networks—A Comparative Study

Al-Absi

Sain

et al. 2021

Sustainability

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“…Despite the increasing interests in UAVs, their rapid mobility and highly dynamic network topology changes make network stability a difficult task. Thus, resulting in quick degradation of network performance and reliability [15]. In addition, controlling the network behavior and flight operation in such dynamic environment requires a deep understanding of the interaction between the motion and network functionalities.…”

Section: Related Workmentioning

confidence: 99%

EMASS: A Novel Energy, Safety and Mobility Aware-Based Clustering Algorithm for FANETs

2021

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The Unmanned Aerial Vehicles (UAVs), organized as a Flying Ad-hoc NETwork (FANET), are used to make effective remote monitoring in diverse applications. Due to their high mobility, their energy consumption is increasingly affected leading to reduced network stability and communication efficiency. The design of node clustering of a FANET needs to consider the number of UAVs in the vicinity (transmission range) in order to ensure an adaptive reliable routing. Novel clustering schemes have been employed to deal with the highly dynamic flying behavior of UAVs and to maintain network stability. In this context, a new clustering algorithm is proposed to address the fast mobility of UAVs and provide safe inter-UAV distance, stable communication and extended network lifetime. The main contributions of this paper are first to extend and improve important metrics used in two well-known algorithms in the literature namely: The Bio-Inspired Clustering Scheme for FANETs (BICSF) and the Energy Aware Link-based Clustering (EALC). Then, exploiting the improved metrics, an Energy and Mobility-aware Stable and Safe Clustering (EMASS) algorithm, built upon new schemes useful for ensuring stability and safety in FANETs, is proposed. The simulation results showed that the EMASS algorithm outperformed the BICSF and the EALC algorithms in terms of better cluster stability, guaranteed safety, higher packet deliverability, improved energy saving and lower delays.

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“…We believe that similar conclusions are also valid for the UAV wireless communications, and that few specific features that are common to the different applications areas need to be efficiently identified. One of the first attempt in this direction has been considered in [15]. In summary, we can conclude that despite there are several common points with the standardization efforts in the ground robotics wireless communication, some important differences need to be accounted for in the case of UAVs.…”

Section: Lessons Learnt From the Its Areamentioning

confidence: 99%

Communication Technologies Enabling Effective UAV Networks: A Standards Perspective

Vegni

Loscrì

Calafate³

et al. 2021

IEEE Comm. Stand. Mag.

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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UAV Communication Networks Issues: A Review

Cited by 105 publications

References 67 publications

Moving Ad Hoc Networks—A Comparative Study

Moving Ad Hoc Networks—A Comparative Study

EMASS: A Novel Energy, Safety and Mobility Aware-Based Clustering Algorithm for FANETs

Communication Technologies Enabling Effective UAV Networks: A Standards Perspective

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