This study applied the World Health Organization (WHO) guidelines to redesign the Portable Health Clinic (PHC), as a Remote Healthcare System (RHS), for the spread of COVID‐19 containment. Additionally, the proposed drone‐based system not only collects people data but also classifies the case according to the main symptoms of coronavirus using the COVID‐19 triage process (CT‐process) based on the analysis of measurement readings taken from patients, where drones are used in a swarm as a PHC platform and are equipped with the required sensors and essential COVID‐19 medications for testing and treating people at their doorstep autonomously when a full curfew is imposed. This paper describes a complete framework and proposes currently in production hardware to build the suggested system, considering the effect of the extra payload weight on drone's durability. In addition, part of the proposed application was simulated using OPNET simulation tool. This work highlights the main aspects that should be considered when designing drone swarm‐based system and distributing the roles on system nodes with the main focus on the controlling messages for inter‐swarm and intra‐swarm communication and coordination.
This study applied the World Health Organization (WHO) guidelines to redesign the Portable Health Clinic (PHC), as a Remote Healthcare System (RHS), for the spread of COVID-19 containment. Additionally, the proposed system not only collects people data but also classifies the case according to the the main symptoms of coronavirus using the COVID-19 triage process (CT-process) based on the analysis of measurement readings taken from patients, where drones are used as a PHC platform and are equipped with the required sensors and essential COVID-19 medications for testing and treating people at their doorstep autonomously when a full curfew is imposed.
: The ever-developing technologies in wireless communication networks have the urge for integrating smartness and automation into these networks. This survey paper presents the literature on the rising field of self-organization as a new concept applied to wireless communication networks over the last two decades. We make an in-depth survey of the current literature, standards as well as projects in self-organizing communication networks. Also, our objective is to show a deep knowledge of this active field of research, by defining a simple taxonomy, algorithms, architectures, routing protocols, and security aspects for the design and implementation of self-organizing techniques. Also, we discuss existing solutions, compare their strength and weakness, point out assessment metrics and measurements, and mention the main research scopes for subsequent evolution. This article may act as a starting point and guidance for anybody who seeks to investigate the researches done on self-organization in the area of wireless communication networks.
: In the last few decades, Information and Communication Technology (ICT) has been introduced which aims to bring more comfort to human life by integrating smartness into daily objects, yields to the idea of the smart city. Guaranteeing the well-being of residents and assessing industry and urban planning from an ecological and sustainable perspective are the main goals for the smart city. Great potentials are brought to the public and civil areas by the Aerial Ad Hoc Network (AANET) concept, especially in applications that are risky to human lives. AANET, like any emerging technology, comes with many challenges that have to be overcome to be employed efficiently. In this paper, we make a detailed survey on current literature, standards, and projects of self-organizing AANET in smart cities. Also, we intend to present a profound knowledge of this active research area by identifying features, design characteristics, architectures, routing protocols, and security aspects for the design and implementation of self-organizing AANET. Furthermore, we discuss existing solutions, indicate assessment metrics along with current applications, finally we highlight the main research scope for further developments. This article surveys the work done toward AANET-related outstanding issues, intending to encourage further research in this field.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.