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UAV assistance paradigm: State-of-the-art in applications and challenges

TLDR
This comprehensive survey both studies and summarizes the existing UAV-assisted research, such as routing, data gathering, cellular communications, Internet of Things (IoT) networks, and disaster management that supports existing enabling technologies.
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This article is published in Journal of Network and Computer Applications.The article was published on 2020-09-15 and is currently open access. It has received 204 citations till now.

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Journal ArticleDOI

Routing and collision avoidance techniques for unmanned aerial vehicles: Analysis, optimal solutions, and future directions

TL;DR: There are various routing techniques, real‐time applications of UAVs which are elaborated in this paper, namely, representative, cooperative, and noncooperative techniques, and collision avoidance techniques which are very important for the obstacle‐free environment.
Journal ArticleDOI

6G Wireless Communications Networks: A Comprehensive Survey

TL;DR: In this article, the authors provide a comprehensive review/survey about the key enabling technologies for 6G networks, which include a discussion about the main operation principles of each technology, envisioned potential applications, current state-of-the-art research, and related technical challenges.
Posted Content

Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs

TL;DR: The introduced approaches enable UAVs to adaptively exploit wireless system resources while guaranteeing secure operation in real time, and show the benefits of the introduced solutions for each of the aforementioned cellular-connected UAV application use cases.
Journal ArticleDOI

Protect Your Sky: A Survey of Counter Unmanned Aerial Vehicle Systems

TL;DR: A broad understanding gained from the survey overall will assist with the design of a holistic CUS and inspire cross-domain research across physical layer designs in wireless communications, CUS network designs, control theory, mechanics, and computer science, to enhance counter UAV techniques further.
Posted Content

A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook.

TL;DR: In this paper, a review of AI-enabled routing protocols designed primarily for aerial networks, with an emphasis on accommodating highly-dynamic network topology, is presented, including topology-predictive and self-adaptive learning-based routing algorithms.
References
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Ad hoc On-Demand Distance Vector (AODV) Routing

TL;DR: A logging instrument contains a pulsed neutron source and a pair of radiation detectors spaced along the length of the instrument to provide an indication of formation porosity which is substantially independent of the formation salinity.
Journal ArticleDOI

Wireless communications with unmanned aerial vehicles: opportunities and challenges

TL;DR: An overview of UAV-aided wireless communications is provided, by introducing the basic networking architecture and main channel characteristics, highlighting the key design considerations as well as the new opportunities to be exploited.
Journal ArticleDOI

Survey of Important Issues in UAV Communication Networks

TL;DR: This paper surveys the work done toward all of the outstanding issues, relating to this new class of networks, so as to spur further research in these areas.
Journal ArticleDOI

Throughput Maximization for UAV-Enabled Mobile Relaying Systems

TL;DR: Numerical results show that by optimizing the trajectory of the relay and power allocations adaptive to its induced channel variation, mobile relaying is able to achieve significant throughput gains over the conventional static relaying.
Journal ArticleDOI

Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint

TL;DR: This survey reports the characteristics and requirements of UAV networks for envisioned civil applications over the period 2000-2015 from a communications and networking viewpoint and elaborate on general networking related requirements such as connectivity, adaptability, safety, privacy, security, and scalability.
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Frequently Asked Questions (18)
Q1. What contributions have the authors mentioned in the paper "Uav assistance paradigm: state-of-the-art in applications and challenges" ?

Unmanned Aerial Vehicles ( UAVs ) are an emerging technology with the potential to be used in industries and various sectors of human life to provide a wide range of applications and services. This comprehensive survey both studies and summarizes the existing UAV-assisted research, such as routing, data gathering, cellular communications, Internet of Things ( IoT ) networks, and disaster management that supports existing enabling technologies. Descriptions, classifications, and comparative studies related to different UAV-assisted proposals are presented throughout the paper. By pointing out numerous future challenges, it is expected to simulate research in this emerging and hot research area. Nevertheless, this survey can be considered as the first attempt at a comprehensive analysis of different types of existing UAV-assisted networks and describes the state-of-the-art in UAV-assisted research. 

Indeed, there are many challenging issues and shortcomings in each UAVassisted proposal, which are in need of further investigation and most of the time they are left as future works or barely looked at by the authors. This allows us to outline future opportunities for researchers who want to embark on a deep study in the UAV assistance paradigm. As future work, the authors are currently planning to investigate deeply the concept of visible light communication and its deployment in UAV networks. 

Due to the time flight restriction and movement constraint, UAVs require the smoothest and shortest paths to perform their given missions. 

due to their flexibility and adjustable mobility, UAVs are considered as the best solution to provide emergency connectivity to rescue teams, to victims, and to control servers. 

The specific mobility models and the different areas of movements of UAVs and terrestrial nodes constitute the major challenges during the design of a routing protocol. 

Due to the complexity of surrounding obstructions and bad weathers that permanently prevent the LoS between UAVs and the monitored targets, ground sensors are deployed to collect information about the area of interest and transmit them to the closest UAV. 

when UAVs act as relays on top of VANETs, many challenges, such as reducing the induced overhead, regulating the energy consumption among UAVs, and defining the appropriate mobility models, need to be solved. 

The wake-up and sleep schedule of ground sensors needs to be synchronized according to the positions of the UAVcollector and not with exchanging messages in order to reduce the overhead. 

in the case when UAV-BSs are deployed, other important issues have to be considered, such as the high mobility of both GUs and UAVs, the energy constraint of UAVs and GUs, the vulnerable frequency when UAV-BSs, GUs, and BSs communicate at the same time, the scalability of the network when new UAVs or GUs join it. 

Among the problems that hinder the transition of data packets between communicating nodes are the introduced additional delays, the extra overhead, the energy constraints of UAVs and ground nodes, and a lot of exchange of messages in the case when a global knowledge of the topology is required. 

When adopting one of these techniques, various issues may be raised, such as the degradation of network throughput, the high aerial interference, the restricted coverage, and the negligence of surrounding environments and physical constraints. 

Several constraints have to be considered before defining a planned trajectory, such as the continuous connectivity, the collisions, the energy restriction, and the air corridors [86]. 

embedded with wireless interfaces and navigation equipment, it is very easy to organize UAVs in an ad hoc network or multiUAV network communicating with each other and assisting ground networks. 

As a result, the problem of interference can be mitigated by diversifying frequency spectrum or by enabling efficient coordination among UAVs, thus requiring a deep study to be put on the field. 

a number of lessons are learned during their study of this kind of applications, which can be summarized as follows: • Remote sensing using communications and surveillance using a camera are the most used techniques to perform UAV-WSN monitoring. 

As depicted in Fig. 2, there are three different categories of flying entities that can serve terrestrial networks: (i) LowAltitude UAVs (LAUs), (ii) High-Altitude UAVs (HAUs), and (iii) Satellites. 

The low-level control includes several tasks, such as mapping, path planning for both UGVs and UAVs, landing UAVs onto UGVs, and picking up lightweight UGVs using UAVs. 

Multiple UAVs/Mobile Multiple groundnodes Urban area Reducing the time and cost to develop applications using distributed UAVs Demonstrated high performance with the broker layer.