Literature DB >> 27208530

The monitoring and managing application of cloud computing based on Internet of Things.

Shiliang Luo1, Bin Ren2.   

Abstract

Cloud computing and the Internet of Things are the two hot points in the Internet application field. The application of the two new technologies is in hot discussion and research, but quite less on the field of medical monitoring and managing application. Thus, in this paper, we study and analyze the application of cloud computing and the Internet of Things on the medical field. And we manage to make a combination of the two techniques in the medical monitoring and managing field. The model architecture for remote monitoring cloud platform of healthcare information (RMCPHI) was established firstly. Then the RMCPHI architecture was analyzed. Finally an efficient PSOSAA algorithm was proposed for the medical monitoring and managing application of cloud computing. Simulation results showed that our proposed scheme can improve the efficiency about 50%.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Cloud computing; Information technology; Internet of Things; Monitoring application; Network security

Mesh:

Year:  2016        PMID: 27208530     DOI: 10.1016/j.cmpb.2016.03.024

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

Review 1.  Remote Blood Glucose Monitoring in mHealth Scenarios: A Review.

Authors:  Giordano Lanzola; Eleonora Losiouk; Simone Del Favero; Andrea Facchinetti; Alfonso Galderisi; Silvana Quaglini; Lalo Magni; Claudio Cobelli
Journal:  Sensors (Basel)       Date:  2016-11-24       Impact factor: 3.576

2.  Empowerment of Patients with Hypertension through BPM, IoT and Remote Sensing.

Authors:  Daniel Ruiz-Fernández; Diego Marcos-Jorquera; Virgilio Gilart-Iglesias; Víctor Vives-Boix; Javier Ramírez-Navarro
Journal:  Sensors (Basel)       Date:  2017-10-04       Impact factor: 3.576

3.  Medical Internet of Things to Realize Elderly Stroke Prevention and Nursing Management.

Authors:  Xin Li; Sufen Ren; Fangqiu Gu
Journal:  J Healthc Eng       Date:  2021-07-06       Impact factor: 2.682

  3 in total

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