CBDN: Cloud-Based Drone Navigation for Efficient Battery Charging in Drone Networks

Kim, Jin–Yong; Kim, Seokhwa; Jeong, Jaehoon; Kim, Hyoungshick; Park, Jung Soo; Kim, Sang Woo

doi:10.1109/tits.2018.2883058

Cited by 45 publications

(26 citation statements)

References 17 publications

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“…Raciti et al [17] proposed a current tuning mechanism that compensates for this variability in a single-inverter multipad charging station. Kim et al [18] proposed a cloud-based drone navigation system for efficient drone battery charging in drone networks.…”

Section: Related Workmentioning

confidence: 99%

Drone Assisted Robust Emergency Service Management for Elderly Chronic Disease

Jiang

Jin

Xia

2021

Journal of Healthcare Engineering

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It is important to monitor the early screening of chronic diseases, predict the risk, and provide the comprehensive management of chronic diseases for the elderly. However, it is difficult to provide the robust and real-time emergency service for elderly chronic disease because of the complex social network and diversity of elderly chronic disease service. To address these issues, we design a new drone assisted robust emergency service system. We formulate the Drone assisted Management (DM) problem to minimize the total time cost of drone subject to all elderly chronic disease services which can be guaranteed exactly once by the drone under its energy constraint. Then, we propose the DRS algorithm to solve the DM problem. To provide the robust and real-time service, we further formulate the Charging driven Drone assisted Management (CDM) problem and present the CDRS algorithm to solve the CDM problem. Through the theoretical analysis and numerical simulation experiments, we demonstrate that DRS and CDRS can decrease the total time cost by 37.61% and increase the QoE by 112.80% through the designed system, respectively.

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Section: Related Workmentioning

confidence: 99%

Drone Assisted Robust Emergency Service Management for Elderly Chronic Disease

Jiang

Jin

Xia

2021

Journal of Healthcare Engineering

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“…A continuación se explican los controladores electrónicos de velocidad para alcanzar la máxima eficiencia posible, incluyendo capacidad de inversión de giro de los motores a alta velocidad para un movimiento más estable. Dicha electrónica también va acompañada de un algoritmo de software que estima el flujo del rotor, el ángulo, la velocidad y el par de torsión; estos parámetros del motor se utilizan para ajustar el ancho de banda de control de corriente y voltaje del mismo, pues cuando el dron esté emprendiendo vuelo las baterías tendrán que entregarle más corriente y voltaje de la promedia utilizada con el fin de romper la inercia y la gravedad que lo tienen atado al suelo, y es allí donde el circuito de control entra en operación, brindando la cantidad de energía suficiente para no quemar los motores o sobrecargar otros subsistemas (Kim et al, 2019).…”

Section: Circuitos De Control De La Energía Eléctricaunclassified

Evaluación de captadores fotovoltaicos para suministro complementario de energía en aeronaves remotamente tripuladas

Prieto¹,

Piraquive

Garzón

2021

Perspect. Intel.

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El uso de paneles solares en aeronaves remotamente tripuladas (ART) o drones no es muy común, y aunque viene estudiándose desde hace unos 20 años apenas en los últimos años es que ha sido estudiado más profundamente. En este artículo se hace una revisión exploratoria de tecnologías relacionadas que permita observar las tendencias tecnológicas sobre el uso de la energía solar para la alimentación eléctrica de ART’s. Para ello se realizó una conceptualización teórica de los requerimientos tecnológicos, luego se realizó una búsqueda de palabras claves en publicaciones científicas relacionadas con el tema de investigación y se analizaron con Bibliometrix. En los resultados se muestran los principales conceptos relacionados, los componentes para la implementación, usos y funcionamiento como complemento de otras fuentes de alimentación tradicionales y emergentes. Como conclusión se presenta la viabilidad de utilizar la energía fotovoltaica para las ART’s; aunque hace falta seguir estos estudios, también se deja una base conceptual que servirá para realizar trabajos futuros.

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“…Suppose Robert requests a fast package delivery service using a drone from San Marcos to San Antonio (92 km). The flight range of a typical delivery drone varies from 3 to 33 km [13].…”

Section: Motivating Scenariomentioning

confidence: 99%

“…If drones arrive earlier or later than the scheduled time, this may cause congestion at this station. A congested station is defined as a recharging station where all pads are occupied and the drone may have to wait for the availability of pads [13]. Each drone that operates in a multi-drone environment has its own delivery plan.…”

Section: Introductionmentioning

confidence: 99%

Top-k Dynamic Service Composition in Skyway Networks

Shahzaad¹,

Bouguettaya²

2021

Preprint

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We propose a novel top-k service composition framework for drone services under a dynamic environment. We develop a system model for formal modelling of drone services in a skyway network. The composition process is accomplished in two phases, i.e., computing top-k compositions and extending and ranking top-k compositions using probabilistic wait and recharge times under congestion conditions. We propose a topk composition algorithm to compute the best service composition plan meeting user's requirements. A set of experiments with a real dataset is conducted to demonstrate the effectiveness of the proposed approach.

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CBDN: Cloud-Based Drone Navigation for Efficient Battery Charging in Drone Networks

Cited by 45 publications

References 17 publications

Drone Assisted Robust Emergency Service Management for Elderly Chronic Disease

Drone Assisted Robust Emergency Service Management for Elderly Chronic Disease

Evaluación de captadores fotovoltaicos para suministro complementario de energía en aeronaves remotamente tripuladas

Top-k Dynamic Service Composition in Skyway Networks

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