Efficient Deployment with Throughput Maximization for UAVs Communication Networks

Sayeed, Mohd Abuzar; Kumar, Rajesh; Sharma, Vishal; Sayeed, Mohd Asim

doi:10.3390/s20226680

Cited by 10 publications

(5 citation statements)

References 67 publications

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“…The crucial network metric known as throughput is affected by the user's signal-tonoise ratio (SN R) and the channel bandwidth B. In order to determine the throughput capacity per user in A2G communications a per [13], this study adjusts Shannon's equation to meet our requirements.…”

Section: The Euclidian Distance Between the Drone And The User Denote...mentioning

confidence: 99%

Performance Evaluation of Aerial Drone to Ground Communication Links using Adaptive Modulation and Coding Techniques

GADHIRAJU,

SARKAR,

NAGARAJ

2024

Preprint

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Unmanned aerial vehicles (UAVs) are being used to develop wireless technologies for ground communications. These technologies are continuously advancing and are expected to improve further in the near future. Conventional communication systems need sophisticated and costly infrastructure, along with time-consuming installation processes. In contrast, a UAV-assisted wireless communication system ensures a cost-effective wireless connection to devices without the requirement for cumbersome infrastructure installation. Wireless communication systems integrated with low-altitude UAVs offer faster deployment, increased mobility, easy re-configuration, and are expected to provide higher quality communication channels with shorter range line-of-sight (LOS) connectivity compared to High Altitude Platforms (HAPs) like hot air balloons or terrestrial systems. Nevertheless, the effectiveness of the UAV-to-Ground system is impeded by unforeseeable obstacles, which impact the integrity of the communication connection between drones and ground users. This letter explores the application of adaptive modulation and coding (AMC) in Aerial-to-Ground (A2G) networks. Our objective is to assess the network capacity and downlink data rates, as well as achieve optimal performance. This study also covers a comprehensive assessment of path loss, Signal-to-Noise ratio, delay, and throughput performance on terrestrial users linked to airborne drones in various environments. In addition, we conducted research on the link parameters that control the switching of modulation and coding rates on the downlink of the A2G channel.

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Section: The Euclidian Distance Between the Drone And The User Denote...mentioning

confidence: 99%

Performance Evaluation of Aerial Drone to Ground Communication Links using Adaptive Modulation and Coding Techniques

GADHIRAJU,

SARKAR,

NAGARAJ

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…It is noteworthy that the battery constraints of the UAV-BSs were not taken into account in [ 21 ]. On the other hand, the throughput was a common optimization objective in [ 22 , 23 , 24 ]. In [ 22 ], a communication model was proposed where UAVs are utilized to provide broadband coverage for blind zones in maritime communication networks.…”

Section: Introductionmentioning

confidence: 99%

“…However, the proposed approach in [ 23 ] ignores the horizontal mobility of the UAV, and in reality, the movement of a UAV can be more complex. A throughput maximization approach for improving communications in UAV-assisted networks by optimizing the UAV trajectory was proposed in [ 24 ]. This approach uses a graph neural network (GNN) to dynamically repurpose available UAVs to serve congested and overburdened areas of the network.…”

Section: Introductionmentioning

confidence: 99%

“…This approach uses a graph neural network (GNN) to dynamically repurpose available UAVs to serve congested and overburdened areas of the network. In the scenario set-up in [ 24 ], the ground area was divided into several square cells, and the UAVs could serve in their designated cells. In [ 25 ], UAV-BSs could provide seamless communication service for ground users, and the total channel capacity was maximized by dynamically optimizing the UAV-BSs’ three-dimensional locations (coordinates).…”

Section: Introductionmentioning

confidence: 99%

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Research on the Total Channel Capacities Pertaining to Two Coverage Layouts for Three-Dimensional, UAV-Assisted Ad Hoc Networks

Yan

Zhu

Wang

et al. 2023

Sensors

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Unmanned aerial vehicles (UAVs) employed as airborne base stations (BSs) are considered the essential components in future sixth-generation wireless networks due to their mobility and line-of-sight communication links. For a UAV-assisted ad hoc network, its total channel capacity is greatly influenced by the deployment of UAV-BSs and the corresponding coverage layouts, where square and hexagonal cells are partitioned to divide the zones individual UAVs should serve. In this paper, the total channel capacities of these two kinds of coverage layouts are evaluated using our proposed novel computationally efficient channel capacity estimation scheme. The mean distance (MD) between a UAV-BS in the network and its served users as well as the MD from these users to the neighboring UAV-BSs are incorporated into the estimation of the achievable total channel capacity. We can significantly reduce the computational complexity by using a new polygon division strategy. The simulation results demonstrate that the square cell coverage layout can always lead to a superior channel capacity (with an average increase of 7.67% to be precise) to the hexagonal cell coverage layout for UAV-assisted ad hoc networks.

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“…Protocols. Functionalities provided by the various layers of the IoT architecture are administered by the different protocols deployed in the different layers[77]. The various protocols used at the different layers of the IoT architecture like the application layer, perception layer, network layer, and transport layer are shown in Figure7.…”

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confidence: 99%

Threats and Corrective Measures for IoT Security with Observance of Cybercrime: A Survey

Rani¹,

Kataria²,

Sharma

et al. 2021

Wireless Communications and Mobile Computing

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Internet of Things (IoT) is the utmost assuring framework to facilitate human life with quality and comfort. IoT has contributed significantly to numerous application areas. The stormy expansion of smart devices and their credence for data transfer using wireless mechanics boost their susceptibility to cyberattacks. Consequently, the cybercrime rate is increasing day by day. Hence, the study of IoT security threats and possible corrective measures can benefit researchers in identifying appropriate solutions to deal with various challenges in cybercrime investigation. IoT forensics plays a vital role in cybercrime investigations. This review paper presents an overview of the IoT framework consisting of IoT architecture, protocols, and technologies. Various security issues at each layer and corrective measures are also discussed in detail. This paper also presents the role of IoT forensics in cybercrime investigation in various domains like smart homes, smart cities, automated vehicles, and healthcare. The role of advanced technologies like artificial intelligence, machine learning, cloud computing, edge computing, fog computing, and blockchain technology in cybercrime investigation is also discussed. Lastly, various open research challenges in IoT to assist cybercrime investigation are explained to provide a new direction for further research.

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Efficient Deployment with Throughput Maximization for UAVs Communication Networks

Cited by 10 publications

References 67 publications

Performance Evaluation of Aerial Drone to Ground Communication Links using Adaptive Modulation and Coding Techniques

Performance Evaluation of Aerial Drone to Ground Communication Links using Adaptive Modulation and Coding Techniques

Research on the Total Channel Capacities Pertaining to Two Coverage Layouts for Three-Dimensional, UAV-Assisted Ad Hoc Networks

Threats and Corrective Measures for IoT Security with Observance of Cybercrime: A Survey

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