scholarly journals A Queueing-Based Model Performance Evaluation for Internet of People Supported by Fog Computing

2022 ◽  
Vol 14 (1) ◽  
pp. 23
Author(s):  
Laécio Rodrigues ◽  
Joel J. P. C. Rodrigues ◽  
Antonio de Barros Serra ◽  
Francisco Airton Silva
Keyword(s):  
Case Studies ◽  
Assisted Living ◽  
Performance Metrics ◽  
Fog Computing ◽  
Ambient Assisted Living ◽  
Model Performance ◽  
Aged Care ◽  
Analytical Models ◽  
Monitoring Systems ◽  
The Internet

Following the Internet of Things (IoT) and the Internet of Space (IoS), we are now approaching IoP (Internet of People), or the Internet of Individuals, with the integration of chips inside people that link to other chips and the Internet. Low latency is required in order to achieve great service quality in these ambient assisted living facilities. Failures, on the other hand, are not tolerated, and assessing the performance of such systems in a real-world setting is difficult. Analytical models may be used to examine these types of systems even in the early phases of design. The performance of aged care monitoring systems is evaluated using an M/M/c/K queuing network. The model enables resource capacity, communication, and service delays to be calibrated. The proposed model was shown to be capable of predicting the system’s MRT (mean response time) and calculating the quantity of resources required to satisfy certain user requirements. To analyze data from IoT solutions, the examined architecture incorporates cloud and fog resources. Different circumstances were analyzed as case studies, with four main characteristics taken into consideration. These case studies look into how cloud and fog resources differ. Simulations were also run to test various routing algorithms with the goal of improving performance metrics. As a result, our study can assist in the development of more sophisticated health monitoring systems without incurring additional costs.

Reviewing Home Based Assistive Technologies

2015 ◽  
pp. 317-334 ◽  
Author(s):  
Panagiotis D. Bamidis ◽  
Evdokimos Konstantinidis ◽  
Antonis S. Billis ◽  
Anastasios Sioundas
Keyword(s):  
Case Studies ◽  
Elderly People ◽  
Assisted Living ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Population Ageing ◽  
Assistive Technologies ◽  
European Level ◽  
Home Based

Population ageing is an unprecedented challenge for human societies, which recently is globally tackled by new technologies. In this chapter technologies tailored for use by the elderly people termed ambient assisted living and e-health are discussed. Focus is only placed on those technologies that can be adapted for home use. Emphasis is drawn both on the technical front as well as on the application front based on recent literature. The scope is to make sure the audience reaches a sufficiently broad understanding of what technology is available for home use by elderly people. Applications and research efforts spent but also funded at the European level with a clear focus on those supported by elderly trials are provided. The chapter is enriched with case studies from various projects.

Smart Home and Ambient Assisted Living Based on the Internet of Things

2017 ◽  
Vol 7 (3) ◽  
pp. 1480 ◽  
Author(s):  
H. Sayuti ◽  
R. A. Rashid ◽  
N. M. Abdul Latiff ◽  
M. R. Abdul Rahim ◽  
A. H. F. Abdul Hamid ◽  
...  
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Scheduling Algorithm ◽  
Ambient Assisted Living ◽  
The Internet ◽  
Test Bed ◽  
Zigbee Technology ◽  
3G Network ◽  
Two Phases ◽  
Cloud Network

This paper presents a Smart Home and Ambient Assisted Living (SHAAL) system that has been developed and tested in a real experimental home environment. SHAAL system is designed on wireless sensor network (WSN) linked to the cloud network on the Internet. The development of SHAAL is divided into two phases: the design of SHAAL network and the development of SHAAL applications. SHAAL network is made up of the home network which is the WSN, and the cloud network. The network is designed using TelG mote that operates under Zigbee technology and includes various sensor modules for SHAAL system. The cloud network consists of the gateway, the server and user devices running on third generation (3G) network. Using priority scheduling algorithm for data transmission, it is shown that the performance delay of this system on the test-bed experiment is 34.2 percent less compared to the theoretical study. The implementation of the experimental testbed has proven that SHAAL has been successfully designed and deployed in the real world.

Adaptive window based fall detection using anomaly identification in fog computing scenario

2021 ◽  
Vol 17 (1) ◽  
pp. 15-37
Author(s):  
Rashmi Shrivastava ◽  
Manju Pandey
Keyword(s):  
Feature Extraction ◽  
Assisted Living ◽  
Detection System ◽  
Fog Computing ◽  
Ambient Assisted Living ◽  
Window Size ◽  
Fall Detection ◽  
Detection Methods ◽  
Support Vector ◽  
Adaptive Window

Human fall detection is a subcategory of ambient assisted living. Falls are dangerous for old aged people especially those who are unaccompanied. Detection of falls as early as possible along with high accuracy is indispensable to save the person otherwise it may lead to physical disability even death also. The proposed fall detection system is implemented in the edge computing scenario. An adaptive window-based approach is proposed here for feature extraction because window size affects the performance of the classifier. For training and testing purposes two public datasets and our collected dataset have been used. Anomaly identification based on a support vector machine with an enhanced chi-square kernel is used here for the classification of Activities of Daily Living (ADL) and fall activities. Using the proposed approach 100% sensitivity and 98.08% specificity have been achieved which are better when compared with three recent research based on unsupervised learning. One of the important aspects of this study is that it is also validated on actual real fall data and got 100% accuracy. This complete fall detection model is implemented in the fog computing scenario. The proposed approach of adaptive window based feature extraction is better than static window based approaches and three recent fall detection methods.

scholarly journals A Survey on Internet of Things and Cloud Computing for Healthcare

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 768 ◽  
Author(s):  
L. Minh Dang ◽  
Md. Jalil Piran ◽  
Dongil Han ◽  
Kyungbok Min ◽  
Hyeonjoon Moon
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Storage ◽  
Assisted Living ◽  
Data Exchange ◽  
Fog Computing ◽  
Ambient Assisted Living ◽  
Healthcare Industry ◽  
Healthcare Applications ◽  
Privacy And Security

The fast development of the Internet of Things (IoT) technology in recent years has supported connections of numerous smart things along with sensors and established seamless data exchange between them, so it leads to a stringy requirement for data analysis and data storage platform such as cloud computing and fog computing. Healthcare is one of the application domains in IoT that draws enormous interest from industry, the research community, and the public sector. The development of IoT and cloud computing is improving patient safety, staff satisfaction, and operational efficiency in the medical industry. This survey is conducted to analyze the latest IoT components, applications, and market trends of IoT in healthcare, as well as study current development in IoT and cloud computing-based healthcare applications since 2015. We also consider how promising technologies such as cloud computing, ambient assisted living, big data, and wearables are being applied in the healthcare industry and discover various IoT, e-health regulations and policies worldwide to determine how they assist the sustainable development of IoT and cloud computing in the healthcare industry. Moreover, an in-depth review of IoT privacy and security issues, including potential threats, attack types, and security setups from a healthcare viewpoint is conducted. Finally, this paper analyzes previous well-known security models to deal with security risks and provides trends, highlighted opportunities, and challenges for the IoT-based healthcare future development.

IoT for Ambient Assisted Living

2018 ◽  
pp. 161-187
Author(s):  
Fulvio Corno ◽  
Luigi De Russis ◽  
Alberto Monge Roffarello
Keyword(s):  
Assisted Living ◽  
User Study ◽  
Ambient Assisted Living ◽  
Mobile Technologies ◽  
Daily Activities ◽  
The Internet ◽  
Assisted Living Facilities ◽  
Literature Analysis ◽  
Research Activities ◽  
The Internet Of Things

Research activities on healthcare support systems mainly focus on people in their own homes or nurses and doctors in hospitals. A limited amount of research aims at supporting caregivers that work with people with disabilities in assisted living facilities (ALFs). This chapter explores and applies the Internet of Things to the ALF context. In particular, it presents the design, the implementation, and the experimental evaluation of Care4Me, a system supporting the daily activities of assistants. The requirements for designing and implementing Care4Me derive from a literature analysis and from a user study. The solution combines wearable and mobile technologies. With this healthcare support system, caregivers can be automatically alerted of potentially hazardous situations. Furthermore, inhabitants can require assistance instantly and from any point of the facility. The system was evaluated in two ways. The authors performed a functional test with a group of professional caregivers, and deployed the system in an ALF in Italy, collecting the opinions of caregivers and inhabitants.

scholarly journals A Review of Internet of Things Technologies for Ambient Assisted Living Environments

2019 ◽  
Vol 11 (12) ◽  
pp. 259 ◽  
Author(s):  
Rytis Maskeliūnas ◽  
Robertas Damaševičius ◽  
Sagiv Segal
Keyword(s):  
Internet Of Things ◽  
Assisted Living ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
Global Network ◽  
The Internet ◽  
Virtual Objects ◽  
Acceptance Model ◽  
The Internet Of Things

The internet of things (IoT) aims to extend the internet to real-world objects, connecting smart and sensing devices into a global network infrastructure by connecting physical and virtual objects. The IoT has the potential to increase the quality of life of inhabitants and users of intelligent ambient assisted living (AAL) environments. The paper overviews and discusses the IoT technologies and their foreseen impacts and challenges for the AAL domain. The results of this review are summarized as the IoT based gerontechnology acceptance model for the assisted living domain. The model focuses on the acceptance of new technologies by older people and underscores the need for the adoption of the IoT for the AAL domain.

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