scholarly journals Energy Harvesting Technology for IoT Edge Applications

2021 ◽  
Author(s):  
Amandeep Sharma ◽  
Pawandeep Sharma
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
Rechargeable Batteries ◽  
User Equipment ◽  
End User ◽  
Remote Locations ◽  
Power Densities ◽  
Super Capacitors

The integration of energy harvesting technologies with Internet of things (IoTs) leads to the automation of building and homes. The IoT edge devices, which include end user equipment connected to the networks and interact with other networks and devices, may be located in remote locations where the main power is not available or battery replacement is not feasible. The energy harvesting technologies can reduce or eliminate the need of batteries for edge devices by using super capacitors or rechargeable batteries to recharge them in the field. The proposed chapter provides a brief discussion about possible energy harvesting technologies and their potential power densities and techniques to minimize power requirements of edge devices, so that energy harvesting solutions will be sufficient to meet the power requirements.

scholarly journals Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 10483-10496 ◽  
Author(s):  
Debajyoti Pal ◽  
Suree Funilkul ◽  
Nipon Charoenkitkarn ◽  
Prasert Kanthamanon
Keyword(s):  
Internet Of Things ◽  
Smart Homes ◽  
End User ◽  
User Perspective ◽  
Elderly Healthcare

AsTAR: Sustainable Energy Harvesting for the Internet of Things through Adaptive Task Scheduling

2022 ◽  
Vol 18 (1) ◽  
pp. 1-34
Author(s):  
Fan Yang ◽  
Ashok Samraj Thangarajan ◽  
Gowri Sankar Ramachandran ◽  
Wouter Joosen ◽  
Danny Hughes
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
A Priori ◽  
Optimum Level ◽  
Energy Aware ◽  
Energy Demands ◽  
Sustainable Operation ◽  
The Face ◽  
Execution Rates ◽  
Hardware Platforms

Battery-free Internet-of-Things devices equipped with energy harvesting hold the promise of extended operational lifetime, reduced maintenance costs, and lower environmental impact. Despite this clear potential, it remains complex to develop applications that deliver sustainable operation in the face of variable energy availability and dynamic energy demands. This article aims to reduce this complexity by introducing AsTAR, an energy-aware task scheduler that automatically adapts task execution rates to match available environmental energy. AsTAR enables the developer to prioritize tasks based upon their importance, energy consumption, or a weighted combination thereof. In contrast to prior approaches, AsTAR is autonomous and self-adaptive, requiring no a priori modeling of the environment or hardware platforms. We evaluate AsTAR based on its capability to efficiently deliver sustainable operation for multiple tasks on heterogeneous platforms under dynamic environmental conditions. Our evaluation shows that (1) comparing to conventional approaches, AsTAR guarantees Sustainability by maintaining a user-defined optimum level of charge, and (2) AsTAR reacts quickly to environmental and platform changes, and achieves Efficiency by allocating all the surplus resources following the developer-specified task priorities. (3) Last, the benefits of AsTAR are achieved with minimal performance overhead in terms of memory, computation, and energy.

scholarly journals Car Parking System using ALPR and CPS

2019 ◽  
Vol 9 (1) ◽  
pp. 6233-6236 ◽  
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Daily Basis ◽  
License Plate ◽  
License Plate Recognition ◽  
End User ◽  
Proximity Sensor ◽  
Parking Lots ◽  
Huge Data ◽  
Vacant Space

IoT has become the greatest demand these days due to automation. Every system that helps us on a daily basis has improvised to an internet of things where data are transferred with no human to human or human to computer interaction. There are numerous projects over IoT parking lots, but the efficiency of the system for the underlying demand of the fast world with huge data is yet to be satisfied. In the existing system, using proximity sensor, the parking lots are checked if full and the end-user is notified through app or token for the vacant space and when the lots are full the gate remains closed until space is free to park. In the proposed system the capacitive proximity sensors are used to calculate the dimensions of a car to categories them into macro, sedan, and SUV models and provides the exact level to park. The automatic license plate recognition (ALPR) is used to note the minimum time of parking used by the particular car on two or many occurrences by calculating their mean, thus making efficient usage of space and time for a thriving smart city.

scholarly journals Secrecy Performance Analysis for Fixed-Gain Energy Harvesting in an Internet of Things With Untrusted Relays

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 48247-48258 ◽  
Author(s):  
Van Nhan Vo ◽  
Duc-Dung Tran ◽  
Chakchai So-In ◽  
Hung Tran
Keyword(s):  
Performance Analysis ◽  
Energy Harvesting ◽  
Internet Of Things ◽  
Gain Energy
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