Leveraging Communicating UAVs for Emergency Vehicle Guidance in Urban Areas

Oubbati, Omar Sami; Lakas, Abderrahmane; Lorenz, Pascal; Atiquzzaman, Mohammed; Jamalipour, Abbas

doi:10.1109/tetc.2019.2930124

Cited by 93 publications

(50 citation statements)

References 29 publications

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“…RPUBN [58] takes UAV's energy into design consideration. However, the amount of generated overhead is higher in comparison to other protocols.…”

Section: A Discussion On Performance and Special Featuresmentioning

confidence: 99%

“…Oubbati et al [58] proposed RPUBN routing protocol for UAV-based backbone networks to assist emergency ground vehicles in the urban areas. In RPUBN, the deployed UAVs collect the information about the road condition by exchanging beacon messages with the ground vehicles and try to find out any road accidents and hazards by calculating the mobility of the vehicles on the road.…”

Section: ) Routing Protocol For Uav-aided-vanet Backbone Network (Rpmentioning

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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“…RPUBN [58] takes UAV's energy into design consideration. However, the amount of generated overhead is higher in comparison to other protocols.…”

Section: A Discussion On Performance and Special Featuresmentioning

confidence: 99%

Section: ) Routing Protocol For Uav-aided-vanet Backbone Network (Rpmentioning

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 fact, mobility has been frequently responsible for damaging the data delivery and causing significant packet losses and transmission delay [116]. The energy constraint of UAVs also causes UAV failures, which could disrupt the overall network [117]. Both maintenance of the connectivity and reducing energy consumption allow providing a certain degree of reliability and a predefined threshold of QoS [118].…”

Section: A Uav Networkmentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

Self Cite

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Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the ever-increasing mobile data demands of such mobile networks and provide ubiquitous connectivity to different kinds of wireless devices. However, the UAV assistance paradigm faces a set of crucial issues and challenges. For example, the network management of current UAV-assisted systems is time consuming, complicated, and carried out manually, thus causing a multitude of interoperability issues. To efficiently address all these issues, Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two promising technologies to efficiently manage and improve the UAV assistance for the next generation of mobile networks. In the literature, no clear guidelines are describing the different use cases of SDN and NFV in the context of UAV assistance to terrestrial networks, including mobile networks. Motivated by this fact, in this survey, we guide the reader through a comprehensive discussion of the main characteristics of SDN and NFV technologies. Moreover, we provide a thorough analysis of the different classifications, use cases, and challenges related to UAV-assisted systems. We then discuss SDN/NFV-enabled UAV-assisted systems, along with several case studies and issues, such as the involvement of UAVs in cellular communications, monitoring, and routing, to name a few. We furthermore present a set of open research challenges, high-level insights, and future research directions related to UAV-assisted systems.

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“…These works aim to solve the reliable data delivery problem in the UAV-assisted ground networks. Further, with an increasing interest in practical system issues, recent works have considered restricted energy capacity of UAVs [15], [16], [21].…”

Section: Related Workmentioning

confidence: 99%

Time-Dependent Ad-Hoc Routing Structure for Delivering Delay-Sensitive Data Using UAVs

et al. 2020

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In disaster scenarios where communication networks have broken down, it is important to ensure a reliable data delivery from an emergency operations center to the local target nodes within its effective time limit. We propose a hybrid data delivery mechanism that exploits the load-carry-and-delivery by UAVs with a mixture of localized ad-hoc routing over partially connected terrestrial networks. We aim to achieve reliable on-time data delivery to the target nodes, while preserving the low routing cost. Our proposed routing methodology consists of three steps: 1) localized network construction, 2) network probing by UAVs, and 3) localized ad-hoc routing based on a dynamic depth routing tree depending on the data urgency. Here, we present an innovative cost-effective local data sharing structure called localized minimal routing tree that balances with the direct data delivery by UAVs. After the initial network setup and probing procedure, each UAV makes a series of near-optimal decisions of which grid points to visit considering its localized network topology and data urgency. Our time-dependent routing mechanism dynamically decides data recipient nodes to serve more urgent data delivery with a higher priority at a time. The simulation experiments validated our combined path planning and routing approach, achieving 71% higher reliability than the best possible performance by using only the network nodes and consuming 20% lower energy than the UAV-only approach, while maintaining high reliability. Thus, our work makes a strong case for systematically combining the two approaches. INDEX TERMS Time-dependent routing, delay constraints, load-carry-and-delivery, vehicular ad-hoc networks, unmanned aerial vehicles, ad-hoc data delivery.

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Leveraging Communicating UAVs for Emergency Vehicle Guidance in Urban Areas

Cited by 93 publications

References 29 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

Softwarization of UAV Networks: A Survey of Applications and Future Trends

Time-Dependent Ad-Hoc Routing Structure for Delivering Delay-Sensitive Data Using UAVs

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