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Fog computing technologies for patient sensor networks – trends, issues and future directions

Abstract

Advances in sensors and internet of things promise broad opportunities in many areas and one of them is health care. There are many solutions to manage health care data based on cloud computing. However, high response latency, large volumes of data transferred and security are the main issues of such approach. Fog computing provides immediate response and ways to process large amounts of data using real time analytics which includes machine learning and AI. Fog computing has not yet fully matured and there are still many challenges when managing health care data. It was chosen to investigate the most relevant e­health fog computing topics by analyzing review articles to explain the fog computing model and present the current trends – fog computing e­health technology application environments, deployment cases, infrastructure technologies, data processing challenges, problems and future directions. 38 scientific review articles published in the last 5 years were selected for analysis, filtering the most significant works with Web of Science article search tool.


Article in Lithuanian.


Rūko kompiuterijos technologijos pacientų jutiklių tinklams – tendencijos, problemos ir ateities kryptys


Santrauka


Jutiklių ir daiktų interneto pažanga žada plačias galimybes daugelyje sričių, viena iš jų – sveikatos priežiūra. Sukurta daugybė sprendimų, kaip valdyti sveikatos priežiūros duomenis, pagrįstus debesų kompiuterija, tačiau didelė delsa, didelis perduodamų duomenų kiekis ir jų saugumas yra pagrindinės nutolusių duomenų centrų problemos norint perduoti sveikatos duomenis. Rūko kompiuterija pasižymi greitu atsaku ir leidžia apdoroti didelius duomenų kiekius atliekant realaus laiko analizę, apimančią mašininį mokymąsi ir dirbtinį intelektą. Rūko kompiuterija dar nėra visiškai įsitvirtinusi, o tvarkant sveikatos duomenis vis dar kyla daug problemų. Šiame straipsnyje pateikiama rūko kompiuterijos sveikatos priežiūros srityje apžvalga. Pasirinkta ištirti aktualiausias e. sveikatos rūko kompiuterijos tematikos kryptis išanalizuojant apžvalginius straipsnius, paaiškinti rūko kompiuterijos architektūros modelį ir pateikti dabartines tendencijas – rūko kompiuterijos e. sveikatos technologijų taikymo aplinkas, diegimo atvejus, infrastruktūros technologijas, duomenų apdorojimo uždavinius, problemas ir ateities kryptis. Atrinkti 38 per pastaruosius 5 metus publikuoti mokslinės apžvalgos straipsniai darbų analizei, filtruojant reikšmingiausius darbus taikant Web of Science straipsnių paieškos įrankį.


Reikšminiai žodžiai: rūko kompiuterija, daiktų internetas, sveikatos priežiūra, apžvalga.

Keyword : fog computing, internet of things, health care, review

How to Cite
Kazlauskas, M. (2021). Fog computing technologies for patient sensor networks – trends, issues and future directions. Mokslas – Lietuvos Ateitis / Science – Future of Lithuania, 13. https://doi.org/10.3846/mla.2021.15174
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Aug 20, 2021
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