TY - JOUR
T1 - Walk-to-Charge Technology
T2 - Exploring Efficient Energy Harvesting Solutions for Smart Electronics
AU - Beniwal, Ruby
AU - Kalra, Shruti
AU - Beniwal, Narendra Singh
AU - Mazumdar, Hirak
AU - Singhal, Ashish Kumar
AU - Singh, Sunil Kumar
N1 - Publisher Copyright:
© 2023 Ruby Beniwal et al.
PY - 2023
Y1 - 2023
N2 - Wearable sensors offer great potential in sports, fitness, and medicine. However, their limited battery life poses a major obstacle to their widespread use. This paper explores various energy solutions to extend the battery life of wearable sensors. The first part of the paper focuses on hardware improvements for wearable sensors, such as employing low-power sensors, energy- efficient microcontrollers, and power management circuits. The second part discusses the utilization of solar, thermal, and kinetic energy harvesting techniques to power wearable sensors. These methods aim to harness energy from the environment to supplement or replace battery power. The third part examines wireless power transfer techniques like radio frequency and magnetic resonance, which enable continuous power supply to wearable sensors without the need for physical connections. Software optimization is also highlighted as a crucial aspect in reducing energy consumption. This involves developing efficient algorithms for data processing and transmission, as well as implementing sleep and wake-up modes to minimize power usage during idle periods. Furthermore, the paper emphasizes the importance of user interaction and behavior in improving energy efficiency. It suggests the development of user-friendly interfaces and providing users with feedback on their energy usage.
AB - Wearable sensors offer great potential in sports, fitness, and medicine. However, their limited battery life poses a major obstacle to their widespread use. This paper explores various energy solutions to extend the battery life of wearable sensors. The first part of the paper focuses on hardware improvements for wearable sensors, such as employing low-power sensors, energy- efficient microcontrollers, and power management circuits. The second part discusses the utilization of solar, thermal, and kinetic energy harvesting techniques to power wearable sensors. These methods aim to harness energy from the environment to supplement or replace battery power. The third part examines wireless power transfer techniques like radio frequency and magnetic resonance, which enable continuous power supply to wearable sensors without the need for physical connections. Software optimization is also highlighted as a crucial aspect in reducing energy consumption. This involves developing efficient algorithms for data processing and transmission, as well as implementing sleep and wake-up modes to minimize power usage during idle periods. Furthermore, the paper emphasizes the importance of user interaction and behavior in improving energy efficiency. It suggests the development of user-friendly interfaces and providing users with feedback on their energy usage.
UR - https://www.scopus.com/pages/publications/85175317315
UR - https://www.scopus.com/pages/publications/85175317315#tab=citedBy
U2 - 10.1155/2023/6614658
DO - 10.1155/2023/6614658
M3 - Review article
AN - SCOPUS:85175317315
SN - 1687-725X
VL - 2023
JO - Journal of Sensors
JF - Journal of Sensors
M1 - 6614658
ER -