TY - JOUR
T1 - Secured Wireless Energy Transfer for the Internet of Everything in Ambient Intelligent Environments
AU - Sah, Dinesh Kumar
AU - Poongodi, M.
AU - Donta, Praveen Kumar
AU - Hamdi, Mounir
AU - Cengiz, Korhan
AU - Kamruzzaman, M. M.
AU - Rauf, Hafiz Tayyab
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - The Internet of Everything (IoE), as the primary driving force in our society's digital transformation, constitutes resource-constrained physical objects connected as a network. Energy provisioning is one of the bottlenecks to these resource-constrained devices because they operate using limited power batteries. Wireless energy transfer (WET) is a promising technology to address the issue because it can transfer power without any physical connection between the energy-constrained devices and the power sources. WET is equipped with an unmanned aerial vehicle (UAV), and it can travel in an ambient intelligence environment (AIE) to recharge the batteries of IoE. There are several challenges imposed while scheduling the UAVs for charging and discharging in the AIE. In this context, this article discusses various challenges imposed while scheduling the WET-equipped UAVs in the network, including privacy and security vulnerabilities. This article also compares the performance variance while using different energy sources for WET, along with the future scope.
AB - The Internet of Everything (IoE), as the primary driving force in our society's digital transformation, constitutes resource-constrained physical objects connected as a network. Energy provisioning is one of the bottlenecks to these resource-constrained devices because they operate using limited power batteries. Wireless energy transfer (WET) is a promising technology to address the issue because it can transfer power without any physical connection between the energy-constrained devices and the power sources. WET is equipped with an unmanned aerial vehicle (UAV), and it can travel in an ambient intelligence environment (AIE) to recharge the batteries of IoE. There are several challenges imposed while scheduling the UAVs for charging and discharging in the AIE. In this context, this article discusses various challenges imposed while scheduling the WET-equipped UAVs in the network, including privacy and security vulnerabilities. This article also compares the performance variance while using different energy sources for WET, along with the future scope.
UR - https://www.scopus.com/pages/publications/85138739028
U2 - 10.1109/IOTM.001.2100116
DO - 10.1109/IOTM.001.2100116
M3 - Article
AN - SCOPUS:85138739028
SN - 2576-3180
VL - 5
SP - 62
EP - 66
JO - IEEE Internet of Things Magazine
JF - IEEE Internet of Things Magazine
IS - 1
ER -