scholarly journals Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dong Xue ◽  
Shah Nazir ◽  
Zhiqiang Peng ◽  
Hizbullah Khattak
Keyword(s):  
Health Monitoring ◽  
Fog Computing ◽  
Research Work ◽  
Analytic Network Process ◽  
Medical Services ◽  
Monitoring Systems ◽  
Network Approach ◽  
Network Process ◽  
Health Monitoring Systems ◽  
Selection And Ranking

Numerous raised areas are established in the field of fog computing (FC), applied for various purposes, and are evaluated for running analytics on various devices including devices of internet of things and many others in a disseminated way. FC progresses the prototype of cloud computing to network edge leading various possibilities and services. FC improves processing, decision, and intervention to take place through devices of IoT and communicate essential details. The idea of FC in healthcare based on frameworks of IoT is exploited by determining dispersed delegate layer of comprehension between the cloud and sensor hubs. The clouds suggested systems improved to overcome several challenges in ubiquitous frameworks of medical services such as energy efficiency, portability, adaptableness, and quality issues by accommodating right to take care of definite weights of the distant medical services group and sensor networks. The proposed research work has considered the analytic network process (ANP) for selection and ranking of FC-based IoT for health monitoring systems. The approach works in situation when complexity arises for health monitoring. Results of the study show the success of the research for facilitating healthcare.

scholarly journals Fog-Driven Secure Authentication and Key Exchange Scheme for Wearable Health Monitoring System

2021 ◽  
Vol 2021 ◽  
pp. 1-14 ◽  
Author(s):  
Tsu-Yang Wu ◽  
Lei Yang ◽  
Qian Meng ◽  
Xinglan Guo ◽  
Chien-Ming Chen
Keyword(s):  
Health Monitoring ◽  
Formal Analysis ◽  
Fog Computing ◽  
Key Exchange ◽  
Monitoring Systems ◽  
Health Monitoring Systems ◽  
Wearable Health Monitoring Systems ◽  
Secure Authentication ◽  
Internet Of Things Technology ◽  
Smart Wearable

Smart wearable devices, as a popular mobile device, have a broad market. Smart wearable medical devices implemented in wearable health monitoring systems can monitor the data pertaining to a patient’s body and let the patient know their own physical condition. In addition, these data can be stored, analyzed, and processed in the cloud to effectively prevent diseases. As an Internet-of-things technology, fog computing can process, store, and control data around devices in real time. However, the distributed attributes of fog nodes make the monitored body data and medical reports at risk of privacy disclosure. In this paper, we propose a fog-driven secure authentication and key exchange scheme for wearable health monitoring systems. Furthermore, we conduct a formal analysis using the Real-Oracle-Random model, Burrows–Abadi–Needham logic, and ProVerif tools and an informal analysis to perform security verification. Finally, a performance comparison with other related schemes shows that the proposed scheme has the best advantages in terms of security, computing overhead, and communication cost.

Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems

2017 ◽  
Vol 64 (3) ◽  
pp. 621-628 ◽  
Author(s):  
Haik Kalantarian ◽  
Costas Sideris ◽  
Bobak Mortazavi ◽  
Nabil Alshurafa ◽  
Majid Sarrafzadeh
Keyword(s):  
Low Power ◽  
Health Monitoring ◽  
Computation Offloading ◽  
Monitoring Systems ◽  
Dynamic Computation ◽  
Health Monitoring Systems ◽  
Wearable Health Monitoring Systems

scholarly journals The Concept of Geodetic Analyses of the Measurement Results Obtained by Hydrostatic Leveling

Geosciences ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 406
Author(s):  
Kamiński ◽  
Makowska
Keyword(s):  
Structural Health Monitoring ◽  
Kalman Filtering ◽  
Health Monitoring ◽  
Systematic Errors ◽  
Monitoring Systems ◽  
Measurement Results ◽  
Vertical Displacements ◽  
Complete Computation ◽  
Computation Scheme ◽  
Health Monitoring Systems

The article discusses the issue of hydrostatic leveling. Its application is presented in structural health monitoring systems in order to determine vertical displacements of controlled points. Moreover, the article includes a complete computation scheme that utilizes the estimation from observation differences, allowing the elimination of the influence of individual sensors’ systematic errors. The authors suggest two concepts of processing the measurement results depending on the sensors’ connection method. Additionally, the second concept is extended by the elements allowing the prediction of the displacements by means of Kalman filtering.

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