A survey of cyber security threats and solutions for UAV communications and flying ad-hoc networks

Tsao, Kai-Yun; Girdler, Thomas; Vassilakis, Vassilios G.

doi:10.1016/j.adhoc.2022.102894

Cited by 112 publications

(32 citation statements)

References 103 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The location of a user was randomly selected as the location of the first cluster center. 4. Go through all users, and get the horizontal distance from all the users to current cluster centers, then select the shortest distance as L i .…”

Section: Input: Number Of Uav and User Location Coordinatesmentioning

confidence: 99%

“…Moreover, the existing ground base station is too heavy to meet the communication when the presence of large conference or sports events is hold, and ground base station is damaged in natural disasters such as earthquake or debris flow. To deal with the above problems, the unmanned aerial vehicles (UAV) base station is most widely used as the emergency communication in response to emergencies [3,4].UAV has widely attracted the attention of countries around the world because of the good mobility, low cost, convenient operation and other advantages [5,6]. Particularly,…”

mentioning

confidence: 99%

See 1 more Smart Citation

Study on optimization of communication network for multi-unmanned aerial vehicles

Yang

et al. 2023

J Wireless Com Network

View full text Add to dashboard Cite

The unmanned aerial vehicles (UAV) base station is most widely used as the emergency communication in response to emergencies. However, the performance improvement is in great demand at communication network. To improve the performance between the UAVs and the users, a novel method is proposed based on k-means++ algorithm and antenna adjusting. The established simulation platform and models are credible and reliable according to the very excellent approximation capability and the strong correlation between the simulation results and the Shannon’s formula. The transmission success rate for the three conditions (using only k-means++, antenna pointing optimization and antenna downtilt angle optimization) dramatically increases with an increase in k and all reach the maximum when k is equal to 5. The fan throughput of the proposed method is almost two times than that of the other two conditions after the k value exceeds 5. Meanwhile, the edge users’ rate and average user rate of the proposed method are all markedly increased. Overall, a novel method is provided for optimizing the performance between multi-UAVs and users, and the performance communication network for multi-UAVs is optimized by using the proposed method in this paper.

show abstract

Section: Input: Number Of Uav and User Location Coordinatesmentioning

confidence: 99%

mentioning

confidence: 99%

Study on optimization of communication network for multi-unmanned aerial vehicles

Yang

et al. 2023

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…Authors in [240] provided a comprehensive review on routing protocols from a cross-layer design perspective. Furthermore, security risks are not taken into account by present routing protocols [435]. For improving UAV communication security in both the physical and network levels, authors in [435] [436] provided a thorough evaluation of the security countermeasures already in place.…”

Section: A Future Directions For Uav-assisted Wireless Networkmentioning

confidence: 99%

“…Furthermore, security risks are not taken into account by present routing protocols [435]. For improving UAV communication security in both the physical and network levels, authors in [435] [436] provided a thorough evaluation of the security countermeasures already in place. Ensuring efficient QoS is a challenging issue in UAV communication networks.…”

Section: A Future Directions For Uav-assisted Wireless Networkmentioning

confidence: 99%

Unmanned Aerial Vehicle Communications for Civil Applications: A Review

et al. 2022

View full text Add to dashboard Cite

The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly increased across a variety of applications over the past few years. This is due to the rapid advancement towards the design and production of inexpensive and dependable UAVs and the growing request for the utilization of such platforms particularly in civil applications. With their intrinsic attributes such as high mobility, rapid deployment and flexible altitude, UAVs have the potential to be utilized in many wireless system applications. On the one hand, UAVs are able to operate as flying mobile terminals within wireless/cellular networks to support a variety of missions such as goods delivery, search and rescue, precision agriculture monitoring, and remote sensing. On the other hand, UAVs can be utilized as aerial base stations to increase wireless communication coverage, reliability, and the capacity of wireless systems without additional investment in wireless systems infrastructure. The aim of this article is to review the current applications of UAVs for civil and commercial purposes. The focus of this paper is on the challenges and communication requirements associated with UAV-based communication systems. This article initially classifies UAVs in terms of various parameters, some of which can impact UAVs' communication performance. It then provides an overview of aerial networking and investigates UAVs routing protocols specifically, which are considered as one of the challenges in UAV communication. This article later investigates the use of UAV networks in a variety of civil applications and considers many challenges and communication demands of these applications. Subsequently, different types of simulation platforms are investigated from a communication and networking viewpoint. Finally, it identifies areas of future research.

show abstract

“…The result shows that 2.4 GHz gives a higher delay but more coverage than 5 GHz. In [5] a recent attempt was made to enhance and optimize the performance of video transmission in FANET with a 5 GHz frequency band while analyzing throughput, retransmission attempts, and delay. Their results show that changing some metrics in WLAN interface cards can give better performance to the transmission.…”

Section: Related Workmentioning

confidence: 99%

FANET Drone’s Data Applications, Mobility Models and Wi-Fi IEEE 802.11n Standards for Real and Non-Real Time Traffic

QasMarrogy

Fadhil²

2022

Cihan U Erbil SCI J

View full text Add to dashboard Cite

Data traffic is the most important data transmission between users inside every network, these data traffic can be videos, files, voice, pictures, and many more, that divided into two types, real-time and non-real-time traffic. Most real-time traffic data has a low tolerance for the delay during transmission as they need to be fast received between communication devices. In this paper, a comprehensive analysis will be made to evaluate the two types of data transmitted through FANET drones, with different mobility models and two types of IEEE 802.11 2.4 GHz and 5 GHz by using OLSR routing protocol. Metrics such as delay and throughput will be measured. This paper gives an important overview of how real and non-real-time traffic will be handled during data transmission in FANET networks.

show abstract

A survey of cyber security threats and solutions for UAV communications and flying ad-hoc networks

Cited by 112 publications

References 103 publications

Study on optimization of communication network for multi-unmanned aerial vehicles

Study on optimization of communication network for multi-unmanned aerial vehicles

Unmanned Aerial Vehicle Communications for Civil Applications: A Review

FANET Drone’s Data Applications, Mobility Models and Wi-Fi IEEE 802.11n Standards for Real and Non-Real Time Traffic

Contact Info

Product

Resources

About