An IoT Based UAV Network For Military Applications

Utsav, Ankur; Abhishek, Amit; Suraj, P.; Badhai, Ritesh Kumar

doi:10.1109/wispnet51692.2021.9419470

Cited by 47 publications

(20 citation statements)

References 10 publications

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“…Figure 1(a) shown UAV as wireless coverage: directional antenna-equipped UAVs are employed to offer wireless communication for both outdoor and indoor customers in crowded areas or when worldly BSs are unavailable due to inclement weather [35], [36]. Figure 1(b) shown type of UAV as military: defense forces all around the world are using UAVs more frequently for a set of purposes, such as vulgarity, monitoring, network, attacks, and warfare as a result of ongoing developments in UAV technology [37]. Figure 1(c) shown UAV use in agriculture: UAVs are able to plant seeds and seedlings, harvest crops, and look for weeds and pests.…”

Section: Types Of Uavmentioning

confidence: 99%

Unmanned aerial vehicle: a review and future directions

Al-Shareeda

Saare

Manickam

2023

IJEECS

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The use of unmanned aerial vehicles (UAVs) will be crucial in the next generation of wireless communications infrastructure. When compared to traditional ground-based solutions, it is expected that their use in a variety of communication-based applications will increase coverage and spectrum efficiency. In this paper, we provide a detailed review of all relevant research works as follows. This paper presents types of UAVs (e.g., wireless coverage, military, agriculture, medical applications, environment, and climate, and delivery and transportation), characteristics of UAVs (e.g., node density, altering system topology, node mobility, radio broadcasting mode, frequency band, localization, and power consumption and network lifetime), the application of UAVs (e.g., Multi-UAV cooperation, UAV-to-VANET collaborations, and UAV-to-ground tasks). Additionally, this paper reviews the routing protocols of UAVs (e.g., topology-based, position-based, heterogeneous, delay-tolerant networks (DTNs), swarm-Based, and cluster-based) and simulation tools (e.g., OMNeT++, AVENS, MATLAB, NS3, SUMO, and OPNET). The design and development of any new methods for UAVs may use this work as a guide and reference.

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Section: Types Of Uavmentioning

confidence: 99%

Unmanned aerial vehicle: a review and future directions

Al-Shareeda

Saare

Manickam

2023

IJEECS

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“…Unmanned aerial vehicles (UAVs) have surfaced as a pioneering technology in the 21st century and are exceptionally apt for military operations, including search-and-rescue missions, aerial photography, and structural inspections [ 1 ]. In addition, UAVs and UAV-assisted wireless networks have already been proven to be invaluable in civil applications, such as monitoring fires, transporting goods, detecting oil leakages, and providing network services [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

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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“…With each subsequent year, the number of unmanned aerial vehicles (UAVs) and their applications is expanding [1][2][3][4]. Shakhatreh et al in their extensive study [5] list areas where UAVs are used: infrastructure, agriculture, transportation, security, media & entertainment, insurance, telecommunications, and mining.…”

Section: Introductionmentioning

confidence: 99%

UAV Fault Detection Methods, State-of-the-Art

Puchalski

Giernacki

2022

Drones

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The continual expansion of the range of applications for unmanned aerial vehicles (UAVs) is resulting in the development of more and more sophisticated systems. The greater the complexity of the UAV, the greater the likelihood that a component will fail. Due to the fact that drones often operate in close proximity to humans, the reliability of flying robots, which directly affects the level of safety, is becoming more important. This review article presents recent research works on fault detection on unmanned flying systems. They include papers published between January 2016 and August 2022. Web of Science and Google Scholar databases were used to search for articles. Terminology related to fault detection of unmanned aerial vehicles was used as keywords. The articles were analyzed, each paper was briefly summarized and the most important details concerning each of the described articles were summarized in the table.

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An IoT Based UAV Network For Military Applications

Cited by 47 publications

References 10 publications

Unmanned aerial vehicle: a review and future directions

Unmanned aerial vehicle: a review and future directions

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

UAV Fault Detection Methods, State-of-the-Art

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