Health Monitoring Using Wearable Technologies and Cognitive Radio for IoT

2018 ◽  
pp. 143-165 ◽  
Author(s):  
Raluca Maria Aileni ◽  
George Suciu ◽  
Victor Suciu ◽  
Sever Pasca ◽  
Rodica Strungaru
Keyword(s):  
Cognitive Radio ◽  
Health Monitoring ◽  
Wearable Technologies

scholarly journals Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877400 ◽  
Author(s):  
Hassel Aurora Alcalá Garrido ◽  
Mario E Rivero-Angeles ◽  
Eleazar Aguirre Anaya ◽  
Felipe A Cruz-Perez ◽  
S Lirio Castellanos-Lopez ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Structural Health Monitoring ◽  
Sensor Network ◽  
Health Monitoring ◽  
Time Slot ◽  
Wireless Sensor ◽  
Primary System ◽  
Structural Health ◽  
Analytical Approaches

This article studies the performance of a wireless sensor network with cognitive radio capabilities to gather information about structural health monitoring of buildings in case of seismic activity. Since the use of the local area network is intensive in office and home environments, we propose the use of empty cellular channels (primary system). As such, the structural health monitoring does not degrade the local communications. Thus, the wireless sensor network for structural health monitoring acts as secondary network. Two discrete-time analytical approaches are proposed and developed to evaluate the system performance in terms of both the average packet delay and average energy consumption. The first one is an approximation suitable for the case when the time slot duration is small relative to the mean call inter-arrival time. The second model is accurate for any time slot duration and inter-arrival times.

scholarly journals Wearable Supercapacitors, Performance, and Future Trends

2021 ◽  
Author(s):  
Litty V. Thekkekara ◽  
Imtiaz Ahmed Khan
Keyword(s):  
Energy Storage ◽  
Energy Harvesting ◽  
Electrostatic Interaction ◽  
Health Monitoring ◽  
Interaction Mechanism ◽  
Material Design ◽  
Future Trends ◽  
Wearable Technologies ◽  
New Energy ◽  
And Storage

The progress in portable technologies demands compactable energy harvesting and storage. In recent years, carbon-based lightweight and wearable supercapacitors are the new energy storage trends in the market. Moreover, the non-volatile nature, long durability, eco-friendliness, and electrostatic interaction mechanism of supercapacitors make it a better choice than traditional batteries. This chapter will focus on the progress of the wearable supercapacitor developments, the preferred material, design choices for energy storage, and their performance. We will be discussing the integrability of these supercapacitors with the next generation wearable technologies like sensors for health monitoring, biosensing and e-textiles. Besides, we will investigate the limitations and challenges involves in realizing those supercapacitor integrated technologies.

scholarly journals Primary User Emulation in Cognitive Radio-Enabled WSNs for Structural Health Monitoring: Modeling and Attack Detection

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Hassel Aurora Alcala’ Garrido ◽  
Mario E. Rivero-Angeles ◽  
Eleazar Aguirre Anaya
Keyword(s):  
Cognitive Radio ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Performance Metrics ◽  
Average Energy ◽  
Primary User ◽  
Attack Detection ◽  
Additional Tool ◽  
Structural Health ◽  
Primary User Emulation

Nowadays, the use of sensor nodes for the IoT is widespread. At the same time, cyberattacks on these systems have become a relevant design consideration in the practical deployment of wireless sensor networks (WSNs). However, there are some types of attacks that have to be prevented or detected as fast as possible, like, for example, attacks that put lives in danger. In this regard, a primary user emulation (PUE) attack in a structural health monitoring (SHM) system falls inside this category since nodes failing to report structural damages may cause a collapse of the building with no warning to people inside it. Building on this, we mathematically model an energy and resource utilization-efficient WSN based on the cognitive radio (CR) technique to monitor the SHM of buildings when a seismic activity occurs, making efficient use of scarce bandwidth when a PUE attack is in progress. The main performance metrics considered in this work are average packet delay and average energy consumption. The proposed model allows an additional tool for the prompt identification of such attacks in order to implement effective countermeasures.

Health monitoring through wearable technologies for older adults: Smart wearables acceptance model

2019 ◽  
Vol 75 ◽  
pp. 162-169 ◽  
Author(s):  
Junde Li ◽  
Qi Ma ◽  
Alan HS. Chan ◽  
S.S. Man
Keyword(s):  
Older Adults ◽  
Health Monitoring ◽  
Wearable Technologies ◽  
Acceptance Model

Principles of Cognitive Radio

2009 ◽  
Author(s):  
Ezio Biglieri ◽  
Andrea J. Goldsmith ◽  
Larry J. Greenstein ◽  
Narayan Mandayam ◽  
H. Vincent Poor
Keyword(s):  
Cognitive Radio
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