UAV-Assisted Data Dissemination Scheduling in VANETs

Zeng, Fanhui; Zhang, Rongqing; Cheng, Xiang; Yang, Liuqing

doi:10.1109/icc.2018.8422219

Cited by 40 publications

(20 citation statements)

References 13 publications

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“…DURP [63] uses UAVs as the data dissemination point. The channel characterization and throughput calculation are taken into serious consideration and evaluated thoroughly whereas other performance metrics of the routing paradigms are missing.…”

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

2020

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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%

“…Zeng et al [63] proposed DURP, a routing protocol for the UAV-aided VANET system. For enhanced vehicle mobility prediction, the protocol uses a recursive least square (RLS) algorithm.…”

Section: ) Delay Constrained Uav-vanet Routing Protocol (Durp)mentioning

confidence: 99%

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

2020

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“…Other works require the support of external agents to collect or disseminate data in a VANET. These may be mobile agents periodically injected into the VANET covering the area using LTE, as in [20]; or unmanned aerial vehicles (UAVs) assisting data dissemination through a scheduling strategy based on predicting vehicle mobility [21]. An high level intelligent vehicular traffic information system (not depending on the transmission technology and assuming ideal broadcasting) is presented in [22], where a model that can autonomously collect and disseminate congestion information in urban road networks is presented.…”

Section: Related Workmentioning

confidence: 99%

A multi-hop broadcast wave approach for floating car data collection in vehicular networks

Turcanu

Salvo

Baiocchi

et al. 2020

Vehicular Communications

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Inter-Vehicle Communication (IVC) is bringing connected and cooperative mobility closer to reality. Vehicles today are able to produce huge amounts of information, known in the literature as Floating Car Data (FCD), containing status information gathered from sensing the internal condition of the vehicle and the external environment. Adding networking capabilities to vehicles allows them to share this information among themselves and with the infrastructure. Collecting real-time FCD information from vehicles opens up the possibility of having access to an enormous amount of useful information that can boost the development of innovative services and applications in the domain of Intelligent Transportation System (ITS). In this paper we propose several solutions to efficiently collect real-time FCD information in Dedicated Short-Range Communication (DSRC)-enabled Vehicular Ad Hoc Networks (VANETs). The goal is to improve the efficiency of the FCD collection operation while keeping the impact on the DSRC communication channel as low as possible. We do this by exploiting a slightly modified version of a standardized data dissemination protocol to create a backbone of relaying vehicles that, by following local rules, generate a multi-hop broadcast wave of collected FCD messages. The proposed protocols are evaluated via realistic simulations under different vehicular densities and urban scenarios.

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“…However, this work does not involve a cooperative planning strategy to deliver contents. In [4,8,9], the authors try to improve data dissemination in vehicular networks through considering different types of connections; namely, vehicle to vehicle (V2V), vehicle to RSU (V2I), and vehicle to UAV (V2U). We can list the main shortages of these three works in comparison to ours in three points.…”

Section: Related Workmentioning

confidence: 99%

Cooperative content delivery in UAV-RSU assisted vehicular networks

Al-Hilo¹,

Samir²,

Assi³

et al. 2020

Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond

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Intelligent Transportation Systems (ITS) are gaining substantial attention owing to the great benefits offered to the vehicle users. In ITS paradigm, content data is normally obtained from road side units (RSUs). However, in some scenarios, terrestrial networks are partially/temporarily out-of-service. Unmanned Aerial Vehicle (UAV) or drone cells are expected to be one of the pillars of future networks to assist the vehicular networks in such scenarios. To this end, we propose a collaborative framework between UAVs and in-service RSUs to partial service vehicles. Our objective is to maximize the amount of downloaded contents to vehicles while considering the dynamic nature of the network. Motivated by the success of machine learning (ML) techniques particularly deep Reinforcement learning in solving complex problems, we formulate the scheduling and content management policy problem as a Markov Decision Process (MDP) where the system state space considers the vehicular network dynamics. Proximal Policy Optimization (PPO) is utilized to govern the content decisions in the vehicular network. The simulation-based results show that during the mission time, the proposed algorithm learns the vehicular environment and its dynamics to handle the complex action space.

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UAV-Assisted Data Dissemination Scheduling in VANETs

Cited by 40 publications

References 13 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

A multi-hop broadcast wave approach for floating car data collection in vehicular networks

Cooperative content delivery in UAV-RSU assisted vehicular networks

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