ArticleSensors (Basel, Switzerland)2022
Quality-of-Service-Centric Design and Analysis of Unmanned Aerial Vehicles.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- Adaptive chaotic gaussian lens snake optimization algorithm for improved cotton field sensor coverage and utilization.Scientific reports · 2025Article
- Uncovering the molecular mechanisms of tonifying kidney and activating blood Decoction against myocardial fibrosis using network Pharmacology and experimental validation.Scientific reports · 2025Article
- Edge assisted energy optimization for mobile AR applications for enhanced battery life and performance.Scientific reports · 2025Article
- UAV-Aided Dual-User Wireless Power Transfer: 3D Trajectory Design and Energy Optimization.Sensors (Basel, Switzerland) · 2023Article
- Secrecy Energy Efficiency Enhancement in UAV-Assisted MEC System.Sensors (Basel, Switzerland) · 2023Article
- Joint Resource Management and Trajectory Optimization for UAV-Enabled Maritime Network.Sensors (Basel, Switzerland) · 2022Article
- Data Collection in IoT Using UAV Based on Multi-Objective Spotted Hyena Optimizer.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Recent years have witnessed rapid development and great indignation burgeoning in the unmanned aerial vehicles (UAV) field. This growth of UAV-related research contributes to several challenges, including inter-communication from vehicle to vehicle, transportation coverage, network information gathering, network interworking effectiveness, etc. Due to ease of usage, UAVs have found novel applications in various areas such as agriculture, defence, security, medicine, and observation for traffic-monitoring applications. This paper presents an innovative drone system by designing and developing a blended-wing-body (BWB)-based configuration for next-generation drone use cases. The proposed method has several benefits, including a very low interference drag, evenly distributed load inside the body, and less radar signature compared to the state-of-the-art configurations. During the entire procedure, a standard design approach was followed to optimise the BWB framework for next-generation use cases by considering the typically associated parameters such as vertical take-off and landing and drag and stability of the BWB. Extensive simulation experiments were performed to carry out a performance analysis of the proposed model in a software-based environment. To further confirm that the model design of the BWB-UAV is fit to execute the targeted missions, the real-time working environments were tested through advanced numerical simulation and focused on avoiding cost and unwanted wastages. To enhance the trustworthiness of this said computational fluid dynamics (CFD) analysis, grid convergence test-based validation was also conducted. Two different grid convergence tests were conducted on the induced velocity of the Version I UAV and equivalent stress of the Version II UAV. Finite element analysis-based computations were involved in estimating structural outcomes. Finally, the mesh quality was obtained as 0.984 out of 1. The proposed model is very cost-effective for performing a different kind of manoeuvring activities with the help of its unique design at reasonable mobility speed and hence can be modelled for high-speed-based complex next-generation use cases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.