Potentials of Network‐Based Unmanned Aerial Vehicles

Garg, Pradeep

doi:10.1002/9781119761846.ch17

Cited by 5 publications

(1 citation statement)

References 24 publications

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“…Today, unmanned aerial vehicles (UAVs) are widely used as a tool for mapping and modeling the Earth for various disciplines [1]. UAVs, also known as unmanned aerial systems (UAS) or remotely piloted aircraft systems (RPAS), are pilotless aircraft that can be operated remotely [2,3]. They offer the capability to collect various types of topographical information [4], making them a useful tool in many applications [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Improving the Spatial Accuracy of UAV Platforms Using Direct Georeferencing Methods: An Application for Steep Slopes

et al. 2023

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The spatial accuracy of unmanned aerial vehicles (UAVs) and the images they capture play a crucial role in the mapping process. Researchers are exploring solutions that use image-based techniques such as structure from motion (SfM) to produce topographic maps using UAVs while accessing locations with extremely high accuracy and minimal surface measurements. Advancements in technology have enabled real-time kinematic (RTK) to increase positional accuracy to 1–3 times the ground sampling distance (GSD). This paper focuses on post-processing kinematic (PPK) of positional accuracy to achieve a GSD or better. To achieve this, precise satellite orbits, clock information, and UAV global navigation satellite system observation files are utilized to calculate the camera positions with the highest positional accuracy. RTK/PPK analysis is conducted to improve the positional accuracies obtained from different flight patterns and altitudes. Data are collected at altitudes of 80 and 120 meters, resulting in GSD values of 1.87 cm/px and 3.12 cm/px, respectively. The evaluation of ground checkpoints using the proposed PPK methodology with one ground control point demonstrated root mean square error values of 2.3 cm (horizontal, nadiral) and 2.4 cm (vertical, nadiral) at an altitude of 80 m, and 1.4 cm (horizontal, oblique) and 3.2 cm (vertical, terrain-following) at an altitude of 120 m. These results suggest that the proposed methodology can achieve high positional accuracy for UAV image georeferencing. The main contribution of this paper is to evaluate the PPK approach to achieve high positional accuracy with unmanned aerial vehicles and assess the effect of different flight patterns and altitudes on the accuracy of the resulting topographic maps.

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Section: Introductionmentioning

confidence: 99%

Improving the Spatial Accuracy of UAV Platforms Using Direct Georeferencing Methods: An Application for Steep Slopes

et al. 2023

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A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Ananthi

Jose

2021

Int J Wireless Inf Networks

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Body area network (BAN) connects sensors and actuators to the human body in order to collect patient’s information and transmitting it to doctors in a confined space with limited users. wireless body area network (WBAN) is derived from wireless sensor networks (WSN) and enables to transfer of the patient's information with a wide range of communication due to the limitations of the wired body area network. It plays a vital role in healthcare monitoring, healthcare systems, medical field, sports field, and multimedia communication. Sensors and actuators lead to high energy consumption due to their tiny size. WBAN facilitates in securely storing patient information and transmitting it to the doctor without data loss at a specific time. This review examines and summarizes methodological approaches in WBAN relating to security, safety, reliability, and the fastest transmission. Flying body area networks (FBAN) utilizing unmanned aerial vehicles for data transmission are recommended to promote rapid and secure communication in WBAN. FBAN improve the security, scalability, and speed in order to transmit patient’s information to the doctor due to high mobility.

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Fault-Tolerant Ad Hoc On-Demand Routing Protocol for Mobile Ad Hoc Networks

2022

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Mobile ad hoc networks (MANETs) are particularly suited for scenarios that demand rapid deployment of a communication system without any existing network resources. For instance, a MANET can facilitate the intercommunication process between members of a rescue party in a natural disaster, where the underlying routing protocol is crucial to maintaining the dissemination capability of data-critical packets. However, the backbone of every MANET, i.e., their routing protocol, is limited by the communication range of nodes, their high-speed mobility, and the capacity constraints of energy. This study proposed a fault-tolerant ad hoc on-demand routing protocol (FT-AORP) that relies on these characteristics of MANET nodes to determine reliable paths for data transmission. Subsequently, two of the discovered paths were used to transmit the duplicates of an original data packet to maximize fault tolerance. Further, using the OMNeT++ network simulator, the performance of the proposed system was evaluated through extensive simulation experiments against three simulation parameters: the number of network nodes, node speed, and data packet sending rate. The simulation results demonstrated that FT-AORP greatly improved the packet delivery ratio, reduced end-to-end delay, and maintained a higher residual energy level of the transmission path, compared to other baseline routing protocols.INDEX TERMS Mobile ad hoc network, fault tolerance, network mobility, on-demand routing protocol.

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Potentials of Network‐Based Unmanned Aerial Vehicles

Cited by 5 publications

References 24 publications

Improving the Spatial Accuracy of UAV Platforms Using Direct Georeferencing Methods: An Application for Steep Slopes

Improving the Spatial Accuracy of UAV Platforms Using Direct Georeferencing Methods: An Application for Steep Slopes

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Fault-Tolerant Ad Hoc On-Demand Routing Protocol for Mobile Ad Hoc Networks

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