Toward a lightweight and efficient UAV‐aided VANET

Sedjelmaci, Hichem; Messous, Mohamed Ayoub; Senouci, Sidi‐Mohammed; Brahmi, Imane Horiya

doi:10.1002/ett.3520

Cited by 33 publications

(24 citation statements)

References 35 publications

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“…LEUV [65] introduces a broadcast mitigation technique to reduce the power consumption of UAVs. However, the performance evaluation results do not show how much power is being conserved by the technique.…”

Section: A Discussion On Performance and Special Featuresmentioning

confidence: 99%

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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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Section: A Discussion On Performance and Special Featuresmentioning

confidence: 99%

“…Sedjelmaci et al [65] presented a game-theory-based UAVaided VANET routing protocol referred to as LEUV. The protocol attempts to reduce the energy consumption of UAVs by preventing broadcasts storms.…”

Section: ) Lightweight and Efficient Routing Protocol For Uav-aided mentioning

confidence: 99%

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

Nazib

Moh

2020

IEEE Access

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“…The final phase deals with the discovery of an alternative path which is necessary as the routes in VANETs are dynamic. UAVs are proposed to be used in VANETs [44] for help in finding the disconnected segments and work as relay nodes in VANET infrastructure. A central ground station is at the heart of the scheme which sends instructions to UAVs for storing and forwards the data and dispatches it towards disconnected segments.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

IMOC: Optimization Technique for Drone-Assisted VANET (DAV) Based on Moth Flame Optimization

Tariq

Iqbal

Aadil

2020

Wireless Communications and Mobile Computing

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Technology advancement in the field of vehicular ad hoc networks (VANETs) improves smart transportation along with its many other applications. Routing in VANETs is difficult as compared to mobile ad hoc networks (MANETs); topological constraints such as high mobility, node density, and frequent path failure make the VANET routing more challenging. To scale complex routing problems, where static and dynamic routings do not work well, AI-based clustering techniques are introduced. Evolutionary algorithm-based clustering techniques are used to solve such routing problems; moth flame optimization is one of them. In this work, an intelligent moth flame optimization-based clustering (IMOC) for a drone-assisted vehicular network is proposed. This technique is used to provide maximum coverage for the vehicular node with minimum cluster heads (CHs) required for routing. Delivering optimal route by providing end-to-end connectivity with minimum overhead is the core issue addressed in this article. Node density, grid size, and transmission ranges are the performance metrics used for comparative analysis. These parameters were varied during simulations for each algorithm, and the results were recorded. A comparison was done with state-of-the-art clustering algorithms for routing such as Ant Colony Optimization (ACO), Comprehensive Learning Particle Swarm Optimization (CLPSO), and Gray Wolf Optimization (GWO). Experimental outcomes for IMOC consistently outperformed the state-of-the-art techniques for each scenario. A framework is also proposed with the support of a commercial Unmanned Aerial Vehicle (UAV) to improve routing by minimizing path creation overhead in VANETs. UAV support for clustering improved end-to-end connectivity by keeping the routing cost constant for intercluster communication in the same grid.

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“…In [30], drones are used with store and carry capabilities when disconnections occur due to a low density of vehicles. Also in [31], routing is addressed, with the use of game theory to predict disconnected segments where UAVs should be moved. In [32], some vehicles are assumed to be equipped with drones that can fly within a given control range and act as a relay of a multi-hop route or might carry the data directly to the intended receiver.…”

Section: Related Workmentioning

confidence: 99%

Trajectories and Resource Management of Flying Base Stations for C-V2X

Mignardi

Buratti

Bazzi

et al. 2019

Sensors

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In a vehicular scenario where the penetration of cars equipped with wireless communication devices is far from 100% and application requirements tend to be challenging for a cellular network not specifically planned for it, the use of unmanned aerial vehicles (UAVs), carrying mobile base stations, becomes an interesting option. In this article, we consider a cellular-vehicle-to-anything (C-V2X) application and we propose the integration of an aerial and a terrestrial component of the network, to fill the potential unavailability of short-range connections among vehicles and address unpredictable traffic distribution in space and time. In particular, we envision a UAV with C-V2X equipment providing service for the extended sensing application, and we propose a UAV trajectory design accounting for the radio resource (RR) assignment. The system is tested considering a realistic scenario by varying the RRs availability and the number of active vehicles. Simulations show the results in terms of gain in throughput and percentage of served users, with respect to the case in which the UAV is not present.

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Toward a lightweight and efficient UAV‐aided VANET

Cited by 33 publications

References 35 publications

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

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

IMOC: Optimization Technique for Drone-Assisted VANET (DAV) Based on Moth Flame Optimization

Trajectories and Resource Management of Flying Base Stations for C-V2X

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