Edge Cloud Resource-aware Flight Planning for Unmanned Aerial Vehicles

Bekkouche, Oussama; Taleb, Tarik; Bagaa, Miloud; Samdanis, Konstantinos

doi:10.1109/wcnc.2019.8886000

Cited by 15 publications

(11 citation statements)

References 16 publications

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“…Delay minimization [133]- [136] To minimize the flying time of UAV. UAV flight design [138] To optimize UAV trajectory, e.g., minimize the total flying distance of UAV.…”

Section: State Of the Artmentioning

confidence: 99%

“…Therefore, the alternating optimization and SCA were exploited to obtain a high-quality suboptimal solution. In [138], the total travel distance of UAV was minimized and two different solutions were proposed, i.e., MEC-ware UAV's path planning (MAUP) based integer linear programming and accelerated MAUP. Physicallayer security was investigated in [137], where the optimal solutions based on the condition of three offloading options and the computational overload event from a physical-layer perspective were provided.…”

Section: State Of the Artmentioning

confidence: 99%

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A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

et al. 2020

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Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is foreseen that the emerging 5G network will face an unprecedented increase in traffic volume and computation demands. However, end users mostly have limited storage capacities and finite processing capabilities, thus how to run compute-intensive applications on resource-constrained users has recently become a natural concern. Mobile edge computing (MEC), a key technology in the emerging fifth generation (5G) network, can optimize mobile resources by hosting compute-intensive applications, process large data before sending to the cloud, provide the cloud-computing capabilities within the radio access network (RAN) in close proximity to mobile users, and offer context-aware services with the help of RAN information. Therefore, MEC enables a wide variety of applications, where the real-time response is strictly required, e.g., driverless vehicles, augmented reality, robotics, and immerse media. Indeed, the paradigm shift from 4G to 5G could become a reality with the advent of new technological concepts. The successful realization of MEC in the 5G network is still in its infancy and demands for constant efforts from both academic and industry communities. In this survey, we first provide a holistic overview of MEC technology and its potential use cases and applications. Then, we outline up-to-date researches on the integration of MEC with the new technologies that will be deployed in 5G and beyond. We also summarize testbeds and experimental evaluations, and open source activities, for edge computing. We further summarize lessons learned from state-of-the-art research works as well as discuss challenges and potential future directions for MEC research.

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“…Delay minimization [133]- [136] To minimize the flying time of UAV. UAV flight design [138] To optimize UAV trajectory, e.g., minimize the total flying distance of UAV.…”

Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

et al. 2020

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“…When terrestrial BSs not only provide connectivity and communication, but also computing services to end-users, this paradigm is called mobile edge computing (MEC) [410]. Several challenges need an in-depth exploration by researchers when this paradigm is supported by UAV-BSs, such as energy consumption of UAVs, embedding heavy computing platforms, and optimizing the mobility of UAVs to serve the maximum number of GUs [411]. Also, many other issues should be addressed to enhance the performance of computing and considerably reduce latency.…”

Section: F Fog and Mobile Edge Computingmentioning

confidence: 99%

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

et al. 2020

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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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“…When the requested resources are not available, the translator may be requested to adjust the descriptor to propose another mapping that maintains the initial specifications. Another possible solution to overcome the unavailability of the resources that can satisfy the service requirements indicated in the mission descriptor, is the adjustment of the flight path of the UAV, taking into consideration the availability of resources along the new flight path [8]. This could involve some negotiation with the UAV service provider through the OSS/BSS module.…”

Section: A Framework For Supporting Uav Services In Mobile Telecommunication Networkmentioning

confidence: 99%

On Supporting UAV Based Services in 5G and Beyond Mobile Systems

et al. 2021

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While Unmanned Aerial Vehicles (UAVs) are expected to introduce disruptive innovations in our society, it is foreseen that the used communication technology is the key factor that can unlock their potentials. To this end, the upcoming generation of mobile networks, 5G-and-beyond, are envisioned to be the communication standards to support diverse UAV applications. This will also enable UAVs to benefit from the limitless progress achieved in mobile systems. To facilitate the support of UAV services in 5G-and-beyond networks, this paper introduces a framework that links the mobile telecommunication domain to the UAV domain. The proposed framework reflects an operational view enabling UAV operators to prepare and deploy their applications over different 5G mobile telecommunication networks. Moreover, the framework allows UAV operators to customize mobile systems in accordance with the specifications of their target services and to constantly receive analytical and statistical data on their running applications. Furthermore, in order to ensure network services (dedicated for UAV applications) over heterogeneous mobile systems, this article also discusses the federation of 5G networks.

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Edge Cloud Resource-aware Flight Planning for Unmanned Aerial Vehicles

Cited by 15 publications

References 16 publications

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

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

On Supporting UAV Based Services in 5G and Beyond Mobile Systems

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