GeoUAVs: A new geocast routing protocol for fleet of UAVs

Bousbaa, Fatima Zohra; Kerrache, Chaker Abdelaziz; Mahi, Zohra; Tahari, Abdou El Karim; Lagraa, Nasreddine; Yagoubi, Mohamed Bachir

doi:10.1016/j.comcom.2019.10.026

Cited by 50 publications

(20 citation statements)

References 36 publications

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“…Therefore, some researchers conducted research to devise routing algorithms suitable for networks composed of UAVs. Bousbaa et al proposed GeoUAVs which is a geocast routing protocol for a fleet of UAVs [ 11 ]. This protocol reduces the average transmission delay by delivering information to a specific group of UAVs identified by their geographical location.…”

Section: Related Workmentioning

confidence: 99%

Enabling Reliable UAV Control by Utilizing Multiple Protocols and Paths for Transmitting Duplicated Control Packets

Lee

2021

Sensors

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In the last ten years, supported by the advances in technologies for unmanned aerial vehicles (UAVs), UAVs have developed rapidly and are utilized for a wide range of applications. To operate UAVs safely, by exchanging control packets continuously, operators should be able to monitor UAVs in real-time and deal with any problems immediately. However, due to any networking problems or unstable wireless communications, control packets can be lost or transmissions can be delayed, which causes the unstable drone control. To overcome this limitation, in this paper, we propose MuTran for enabling reliable UAV control. MuTran considers the packet type and duplicates only control packets, not data packets. After that, MuTran transmits the original and duplicate packets through multiple protocols and paths to improve the reliability of control packet transmissions. We designed MuTran and conducted a lot of theoretical analyses to demonstrate the validity of MuTran and analyze it from various aspects. We implemented MuTran on real devices and evaluated MuTran using the devices. We conducted experiments to verify the limitations of the existing systems and demonstrate that control packets can be transmitted more stably by using MuTran. Through the analysis and experimental results, we confirmed that MuTran reduces the control packet transfer delay, which improves the reliability and stability of controlling UAVs.

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Section: Related Workmentioning

confidence: 99%

Enabling Reliable UAV Control by Utilizing Multiple Protocols and Paths for Transmitting Duplicated Control Packets

Lee

2021

Sensors

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“…Bousbaa et al [22] focused on swarm routing protocols and proposed the geocast-based routing protocol for a fleet of UAVs (GeoUAVs) used to manage a wildfire zone. The objective of this protocol was to transmit data to a group of UAVs localized in a specific geo-location.…”

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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“…GeoUAVs [45] is a geocast-based UAV routing protocol that takes the 3D movement of the node, practical topological change, and the reliability of the nodes into consideration for disseminating data to destination nodes towards specific geolocation. An elaborated review analysis is given in [46] by discussing the UAV routing protocol designed for the agricultural sector.…”

Section: B Routing Protocols For Uav Networkmentioning

confidence: 99%

Routing Protocols for Unmanned Aerial Vehicle-Aided Vehicular Ad Hoc Networks: A Survey

Nazib

Moh

2020

IEEE Access

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In intelligent transportation systems, a vehicular ad hoc network (VANET) has a significant impact in enhancing road safety, traffic management efficiency, and in-vehicle infotainment features. Routing in a VANET is hampered by frequent link disconnection for non-line-of-sight communication due to roadside obstacles, high mobility, and frequent topological changes. With the help of three-dimensional movement capability, an unmanned aerial vehicle (UAV) can drastically improve the routing experience of a VANET, by increasing the line-of-sight probability, better connectivity, and efficient store-carry-forward mechanism. As a result, various routing protocols with different objectives have been reported for UAVaided VANETs. Several surveys have been conducted based on different routing protocols for VANETs so far. However, to the best of the authors' knowledge, no survey exists till now that dedicatedly covers routing protocols for UAV-aided VANETs. This survey paper presents a comprehensive review on state-of-the-art routing protocols for UAV-aided VANETs. The protocols are categorized into seven groups in terms of their working mechanism and design principles. The shortcomings of the protocols are identified individually by critically analyzing them with regard to their advantages, disadvantages, application areas, and future improvements. The routing protocols are qualitatively compared with each other in tabular format as well on the basis of various design aspects and system parameters. In particular, not only performance and special features but also optimization criteria and techniques are extensively discussed in addition to the tabular comparison. Furthermore, open research issues and challenges are summarized and discussed. INDEX TERMS Unmanned aerial vehicle, vehicular ad hoc network, mobile ad hoc network, routing protocol, drone, roadside unit, multihop routing.

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GeoUAVs: A new geocast routing protocol for fleet of UAVs

Cited by 50 publications

References 36 publications

Enabling Reliable UAV Control by Utilizing Multiple Protocols and Paths for Transmitting Duplicated Control Packets

Enabling Reliable UAV Control by Utilizing Multiple Protocols and Paths for Transmitting Duplicated Control Packets

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

Routing Protocols for Unmanned Aerial Vehicle-Aided Vehicular Ad Hoc Networks: A Survey

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