A Review of Low-End, Middle-End, and High-End Iot Devices

Ojo, Mike; Giordano, Stefano; Procissi, Gregorio; Seitanidis, Ilias

doi:10.1109/access.2018.2879615

Cited by 115 publications

(73 citation statements)

References 86 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…WellCo 3 provides an affective-aware coach that interacts through speech with the user in order to act as a virtually interface among the user and the platform managing the flow of all interactions and empower users in their behavior change process through simulation activities tailored to their current mood (62). CAPTAIN 4 proposes a transparent technology designed to turn the home of the older adult into a ubiquitous assistant, based on a projected augmented reality through use of micro-projectors, contextualized information and instructions on top of the real environment (63). vCare 4 embeds clinical profiles and the pathways to drive the behavior of the virtual coach at home and provide wellelaborated services for tele-rehabilitation in neurology and cardiology (64).…”

Section: Discussionmentioning

confidence: 99%

“…CAPTAIN 4 proposes a transparent technology designed to turn the home of the older adult into a ubiquitous assistant, based on a projected augmented reality through use of micro-projectors, contextualized information and instructions on top of the real environment (63). vCare 4 embeds clinical profiles and the pathways to drive the behavior of the virtual coach at home and provide wellelaborated services for tele-rehabilitation in neurology and cardiology (64). SAAM 5 supports the aging population living at home, with a novel and practical emphasis on ambient sensing and learning of user needs and preferences, and effective coaching by leveraging the user's social support networks (65).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback

Tsiouris

Tsakanikas

Gatsios

et al. 2020

Front. Digit. Health

View full text Add to dashboard Cite

This review focuses on virtual coaching systems that were designed to enhance healthcare interventions, combining the available sensing and system-user interaction technologies. In total, more than 1,200 research papers have been retrieved and evaluated for the purposes of this review, which were obtained from three online databases (i.e.,PubMed, Scopus and IEEE Xplore) using an extensive set of search keywords. After applying exclusion criteria, the remaining 41 research papers were used to evaluate the status of virtual coaching systems over the past 10 years and assess current and future trends in this field. The results suggest that in home coaching systems were mainly focused in promoting physical activity and a healthier lifestyle, while a wider range of medical domains was considered in systems that were evaluated in lab environment. In home patient monitoring with IoT devices and sensors was mostly limited to activity trackers, pedometers and heart rate monitoring. Real-time evaluations and personalized patient feedback was also found to be rather lacking in home coaching systems and this is the most alarming find of this analysis. Feasibility studies in controlled environment and an ongoing active research on Horizon 2020 funded projects, show that the future trends in this field are aiming to close the loop with automated patient monitoring, real-time evaluations and more precise interventions.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback

Tsiouris

Tsakanikas

Gatsios

et al. 2020

Front. Digit. Health

View full text Add to dashboard Cite

show abstract

“…LW-CCA reduces energy consumption while it maintains packet delivery rate 99%, which is the same as ContikiMAC in sender nodes. The proposed method can be applied to all IoT platforms based on 802.15.4 radios such as Z1, Tmote-SKY, and Micaz [29]. Since RSSI validation is based on CCA check, therefore it can also be exploited in the real environment.…”

Section: Discussionmentioning

confidence: 99%

Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things

M¹,

Shamshirband²,

Chronopoulos³

et al. 2020

Preprint

View full text Add to dashboard Cite

The radio operation in wireless sensor networks (WSN) in the Internet of Things (IoT) applications are the most common source for power consumption. However, recognizing and controlling the factors affecting radio operation can be valuable for managing the node power consumption. ContikiMAC is a low-power Radio Duty-Cycle protocol in Contiki OS used in WakeUp mode, which is a clear channel assessment (CCA) to check radio status periodically. The time spent to check the radio is of utmost importance for monitoring power consumption. It can lead to false WakeUp or idle listening in Radio Duty-Cycles and ContikiMAC. This paper presents a detailed analysis of radio WakeUp time factors of ContikiMAC. Then, we propose lightweight CCA (LW-CCA) as an extension to ContikiMAC to reduce the percentage of Radio Duty-Cycles in false WakeUps and idle listenings by using dynamic received signal strength indicators (RSSI) status check time. The simulation results in the Cooja simulator show that LW-CCA reduces about 8% energy consumption in nodes while maintaining up to 99% of the packet delivery rate (PDR).

show abstract

“…Finally, LW-CCA is compared via simulation to the basic ContikiMAC. The proposed method can be used on low power IOT platforms based on 802.15.4 radio and Contiki OS, such as Z1, Tmote-SKY, and Micaz [29].…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things

et al. 2020

View full text Add to dashboard Cite

The radio operation in wireless sensor networks (WSN) in Internet of Things (IoT) applications is the most common source for power consumption. Consequently, recognizing and controlling the factors affecting radio operation can be valuable for managing the node power consumption. Among essential factors affecting radio operation, the time spent for checking the radio is of utmost importance for monitoring power consumption. It can lead to false WakeUp or idle listening in radio duty cycles and ContikiMAC. ContikiMAC is a low-power radio duty-cycle protocol in Contiki OS used in WakeUp mode, as a clear channel assessment (CCA) for checking radio status periodically. This paper presents a detailed analysis of radio WakeUp time factors of ContikiMAC. Furthermore, we propose a lightweight CCA (LW-CCA) as an extension to ContikiMAC to reduce the Radio Duty-Cycles in false WakeUps and idle listening though using dynamic received signal strength indicator (RSSI) status check time. The simulation results in the Cooja simulator show that LW-CCA reduces about 8% energy consumption in nodes while maintaining up to 99% of the packet delivery rate (PDR).

show abstract

A Review of Low-End, Middle-End, and High-End Iot Devices

Cited by 115 publications

References 86 publications

A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback

A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback

Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things

Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things

Contact Info

Product

Resources

About