Internet of Things–triggered and power-efficient smart pedometer algorithm for intelligent wearable devices

2020 ◽  
pp. 1-23
Author(s):  
Rajesh Singh ◽  
Anita Gehlot ◽  
Jatin Kumar Khilrani ◽  
Mamta Mittal
Keyword(s):  
Internet Of Things ◽  
Wearable Devices ◽  
Power Efficient

Privacy and Security in Internet of Things and Wearable Devices

2015 ◽  
Vol 1 (2) ◽  
pp. 99-109 ◽  
Author(s):  
Orlando Arias ◽  
Jacob Wurm ◽  
Khoa Hoang ◽  
Yier Jin
Keyword(s):  
Internet Of Things ◽  
Wearable Devices ◽  
Privacy And Security

Wearable Internet of Things

2018 ◽  
pp. 29-57
Author(s):  
Ranganathan Hariharan
Keyword(s):  
Internet Of Things ◽  
Continuous Monitoring ◽  
Full Range ◽  
Wearable Devices ◽  
Point Of View ◽  
Central Location ◽  
Biometric Information ◽  
Day By Day

With the type of ailments increasing and with the methods of diagnosis improving day by day, wearable devices are increasing in number. Many times, it is found to be beneficial to have continuous diagnosis for certain type of ailments and for certain type of individuals. One will feel uncomfortable if a number of needles are protruding out of one's body for having continuous diagnosis. From this point of view, wearable diagnosis systems are preferable. With Internet of Things (IoT), it is possible to have a number of diagnostic sensors as wearable devices. In addition, for a continuous monitoring, the information from these wearable devices must be transferring information to some central location. IoT makes this possible. IoT brings full range of pervasive connectivity to wearable devices. IoT of wearable devices can include additional intelligence of location of the person wearing the device and also some biometric information identifying the wearer.

scholarly journals Power Efficient Time-Division Random-Access Model Based in Wireless Communication Networks

2021 ◽  
Vol 2 (4) ◽  
pp. 155-159
Author(s):  
Suma V
Keyword(s):  
Internet Of Things ◽  
Communication Networks ◽  
Radio Channel ◽  
Random Access ◽  
Wireless Communication Networks ◽  
Power Efficient ◽  
Massive Number ◽  
Iot Devices ◽  
Time Division ◽  
Access Model

The conventional infrastructure for mobile-communication is used for providing internet-of-things (IoT) services by the third-generation partnership project (3GPP) with the help of the recently developed cellular internet-of-things (CIoT) scheme. Random-access procedure can be used for connecting the large number of IoT devices using the CIoT systems. This process is advantages as the huge devices are accessed in a concurrent manner. When random access procedures are used simultaneously on a massive number of devices, the probability of congestion is high. This can be controlled to a certain extent through the time division scheme. A power efficient time-division random access model is developed in this paper to offer reliable coverage enhancement (CE) based on the coverage levels (CL). The quality of radio-channel is used for categorization of the CIoT devices after assigning them with CLs. The performance of random-access model can be improved and the instantaneous contention is relaxed greatly by distributing the loads based on their coverage levels into different time periods. Markov chain is used for mathematical analysis of the behavior and state of the devices. The probability of blocking access, success rate and collision control are enhanced by a significant level using this model in comparison to the conventional schemes.

A Business Model Framework for Crowd-Driven IoT Ecosystems

2019 ◽  
pp. 440-461
Author(s):  
Xenia Ziouvelou ◽  
Frank McGroarty
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Business Models ◽  
Wearable Devices ◽  
The Internet ◽  
Model Framework ◽  
Research Attention ◽  
Business Modelling ◽  
Emerging Ecosystems ◽  
The Internet Of Things

This article describes how the era of hyper-connectivity is characterized by distributed, crowd-centric ecosystems that utilise cutting edge technology so as to harness the collective power, co-creation ability and intelligence of the crowd utilising under open participatory value creation models. The Internet of Things (IoT) has fueled the emergence of such ecosystems that leverage not only the power of physical things connected to the Internet but also the wisdom of the crowd to observe, measure, and make sense of phenomena via user-owned mobile and wearable devices. Existing business modelling literature has to date, placed no research attention on business models for such emerging ecosystems. This article aims to fill this gap by examining the dynamics of crowd-driven IoT ecosystems and introducing a business model framework for such environments, encompassing all relevant value-creating actors, activities and processes, facilitating this way a holistic ecosystem business model analysis.

Internet of Things in Healthcare

2020 ◽  
pp. 23-39
Author(s):  
Rajasekaran Thangaraj ◽  
Sivaramakrishnan Rajendar ◽  
Vidhya Kandasamy
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Deep Learning ◽  
Internet Of Things ◽  
Healthcare Systems ◽  
Wearable Devices ◽  
Healthcare Research ◽  
Learning Technologies ◽  
Learning Approaches ◽  
And Performance

Healthcare motoring has become a popular research in recent years. The evolution of electronic devices brings out numerous wearable devices that can be used for a variety of healthcare motoring systems. These devices measure the patient's health parameters and send them for further processing, where the acquired data is analyzed. The analysis provides the patients or their relatives with the medical support required or predictions based on the acquired data. Cloud computing, deep learning, and machine learning technologies play a prominent role in processing and analyzing the data respectively. This chapter aims to provide a detailed study of IoT-based healthcare systems, a variety of sensors used to measure parameters of health, and various deep learning and machine learning approaches introduced for the diagnosis of different diseases. The chapter also highlights the challenges, open issues, and performance considerations for future IoT-based healthcare research.

Review of the Role of the Internet of Things (IoT) on the Consumer Market

2021 ◽  
pp. 180-198
Author(s):  
Yong Kyu Lee
Keyword(s):  
Internet Of Things ◽  
Wearable Devices ◽  
The Internet ◽  
Consumer Market ◽  
Daily Lives ◽  
Information And Communication ◽  
Iot Devices ◽  
The Internet Of Things

This chapter reviews the internet of things (IoT) as a key component of a smart city and how it is applied to consumers' daily lives and business. The IoT is a part of information and communication technology (ICT) and is considered a powerful means to improve consumers' quality of life. The “thing” could be any object which has internet capability, such as wearable devices and smart TVs/phones/speakers. Several studies have identified driving factors that have led consumers to adopting them, but also concerns of consumers' resistance to IoT devices. The three major fields of application of IoT technologies were selected to review the role of the IoT in consumers' daily lives and business.

Toward van der Waals epitaxy of transferable ferroelectric barium titanate films via a graphene monolayer

2020 ◽  
Vol 8 (10) ◽  
pp. 3445-3451 ◽  
Author(s):  
Liyan Dai ◽  
Gang Niu ◽  
Jinyan Zhao ◽  
Huifeng Zhao ◽  
Yiwei Liu ◽  
...  
Keyword(s):  
Thin Films ◽  
Barium Titanate ◽  
Internet Of Things ◽  
Van Der Waals ◽  
Future Internet ◽  
Wearable Devices ◽  
Graphene Monolayer ◽  
Sensors And Actuators

Transferable highly (001)-oriented textured ferroelectric BaTiO3 thin films have been achieved on a graphene monolayer for wearable devices like sensors and actuators for future “Internet of Things” era.

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