Wireless Powering Internet of Things with UAVs: Challenges and Opportunities

Liu, Yalin; Dai, Hong-Ning; Wang, Qubeijian; Imran, Muhammad; Guizani, Nadra

doi:10.1109/mnet.013.2000385

Cited by 9 publications

(8 citation statements)

References 15 publications

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“…However, some restraints on the UAV during operations exist, e.g., the huge operational expenditure to maintain its infrastructural nodes or battery endurance for longer aerial communication. A "UAV-enabled wireless powering IoT" (Ue-WPIoT) with smart trajectory information of UAVs and an AI-deep learning model was developed to overcome the limitations and was designed for the consideration of more lightweight UAVs (14). The improvement of Ue-WPIoT could allow trainees more time to become familiar with the new device and fulfill the IoT wireless function in the air.…”

Section: Discussionmentioning

confidence: 99%

“…All articles were from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) databases. After the literature was reviewed, we obtained the related keywords with the high number of occurrences as queries with the following terms: remote technology (6,31,32); remote learning (6,31,33); online learning or teaching (7,10); emergency or disaster response (34,35); disaster medicine education (30, 36); blended learning (37)(38)(39); mobile edge computing (20, 40); virtual or augmented reality (23,25,41,42); drone (14,20,43); machine learning (44,45); deep learning (46,47); and federated learning (48,49). Similar articles included in references were also screened.…”

Section: Searching Strategies and Inclusion And Exclusion Criteriamentioning

confidence: 99%

“…The need for disaster medicine education to adequately prepare undergraduate students or graduate professionals for these kinds of disasters will require novel technologies, as well as traditional ones, to meet this challenge. Due to the advent of artificial intelligence (AI) that relies on big data and the proliferation of the Internet of Things (IoT) for universal applications, e.g., smartphones, smart industries, and smart healthcare, wirelessly powered communication (WPC) devices and distant healthcare delivery systems are booming (14,15). Mobile edge computing (MEC), a recently developed concept since 2014, is an emergent architecture where cloud computing services are extended to the edge of networks leveraging mobile base station (16).…”

Section: Introductionmentioning

confidence: 99%

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The development of new remote technologies in disaster medicine education: A scoping review

Kao

Chien

Wang

et al. 2023

Front. Public Health

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BackgroundRemote teaching and online learning have significantly changed the responsiveness and accessibility after the COVID-19 pandemic. Disaster medicine (DM) has recently gained prominence as a critical issue due to the high frequency of worldwide disasters, especially in 2021. The new artificial intelligence (AI)-enhanced technologies and concepts have recently progressed in DM education.ObjectivesThe aim of this article is to familiarize the reader with the remote technologies that have been developed and used in DM education over the past 20 years.Literature scoping reviewsMobile edge computing (MEC), unmanned aerial vehicles (UAVs)/drones, deep learning (DL), and visual reality stimulation, e.g., head-mounted display (HMD), are selected as promising and inspiring designs in DM education.MethodsWe performed a comprehensive review of the literature on the remote technologies applied in DM pedagogy for medical, nursing, and social work, as well as other health discipline students, e.g., paramedics. Databases including PubMed (MEDLINE), ISI Web of Science (WOS), EBSCO (EBSCO Essentials), Embase (EMB), and Scopus were used. The sourced results were recorded in a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart and followed in accordance with the PRISMA extension Scoping Review checklist. We included peer-reviewed articles, Epubs (electronic publications such as databases), and proceedings written in English. VOSviewer for related keywords extracted from review articles presented as a tabular summary to demonstrate their occurrence and connections among these DM education articles from 2000 to 2022.ResultsA total of 1,080 research articles on remote technologies in DM were initially reviewed. After exclusion, 64 articles were included in our review. Emergency remote teaching/learning education, remote learning, online learning/teaching, and blended learning are the most frequently used keywords. As new remote technologies used in emergencies become more advanced, DM pedagogy is facing more complex problems.DiscussionsArtificial intelligence-enhanced remote technologies promote learning incentives for medical undergraduate students or graduate professionals, but the efficacy of learning quality remains uncertain. More blended AI-modulating pedagogies in DM education could be increasingly important in the future. More sophisticated evaluation and assessment are needed to implement carefully considered designs for effective DM education.

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Section: Discussionmentioning

confidence: 99%

Section: Searching Strategies and Inclusion And Exclusion Criteriamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The development of new remote technologies in disaster medicine education: A scoping review

Kao

Chien

Wang

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…To optimize transmit beamformers and phase shifts, there are two sub-problems in the outer loop, and each sub-problem needs to be solved using an iterative update approach, respectively. In particular, the MMSE algorithm requires inverse matrix operations with complexity O 𝐾 I 𝑀 3 . Additionally, a onedimensional search (using standard line search) for 𝜆 is also required.…”

Section: Computational Complexity Analysis Of Aomentioning

confidence: 99%

“…Although these devices are equipped with diverse sensors, they are typically low-power and have limited battery life. Thus, these devices need to be maintained regularly in order to extend the battery's lifespan [3]. These constraints limit the potential use of IoT networks due to higher costs, deployment challenges, and increased network complexity [4], [5].…”

Section: Introductionmentioning

confidence: 99%