Deep reinforcement learning resource allocation in wireless sensor networks with energy harvesting and relay
B Zhao, X Zhao - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Green wireless communications have been extensively studied in wireless sensor networks
(WSNs), including the use of new energy, renewable energy, and low-power consumption …
(WSNs), including the use of new energy, renewable energy, and low-power consumption …
Optimal charger placement for wireless power transfer
As a promising technology to achieve perpetual operation of battery-powered wireless
sensor devices, wireless power transfer has attracted much attention recently. In wireless …
sensor devices, wireless power transfer has attracted much attention recently. In wireless …
Deep reinforcement learning for dynamic control of fuel injection timing in multi-pulse compression ignition engines
MT Henry de Frahan, NT Wimer… - … Journal of Engine …, 2022 - journals.sagepub.com
Conventional compression-ignition (CI) engines have long offered high thermal efficiencies
and torque across a wide range of loads, but often require extensive exhaust gas treatment …
and torque across a wide range of loads, but often require extensive exhaust gas treatment …
RF-based Energy Harvesting: Nonlinear Models, Applications and Challenges
R Jiang - arXiv preprint arXiv:2405.04976, 2024 - arxiv.org
So far, various aspects associated with wireless energy harvesting (EH) have been
investigated from diverse perspectives, including energy sources and models, usage …
investigated from diverse perspectives, including energy sources and models, usage …
On maximizing min source rate in power beacon assisted IoTs networks
Future Internet of Things (IoTs) networks will have Radio Frequency (RF)-energy harvesting
devices powered by a Power Beacon (PB). These devices will be tasked with collection and …
devices powered by a Power Beacon (PB). These devices will be tasked with collection and …
Cost-minimum charger placement for wireless power transfer
As a promising technology to achieve perpetual operation of battery-powered wireless
sensor devices, wireless power transfer has attracted much attention recently. In wireless …
sensor devices, wireless power transfer has attracted much attention recently. In wireless …
Green computing in heterogeneous internet of things: Optimizing energy allocation using SARSA-based reinforcement learning
Green computing has been emerged as a promising paradigm to harvest energy from
renewable resources to reduce use of conventional energy source in Internet of Things …
renewable resources to reduce use of conventional energy source in Internet of Things …
Optimal wireless charger placement with individual energy requirement
Supply energy to battery-powered sensor devices by deploying wireless chargers is a
promising way to prolong the operation time of wireless sensor networks, and has attracted …
promising way to prolong the operation time of wireless sensor networks, and has attracted …
Cooperative power management in energy harvesting communication systems in presence of a helper
We investigate end-to-end throughput maximization problem for an energy harvesting (EH)
single user channel in presence of an energy cooperating helper. The EH helper transfers …
single user channel in presence of an energy cooperating helper. The EH helper transfers …
Deep reinforcement learning to discover multi-fuel injection strategies for compression ignition engines
NT Wimer, MT Henry de Frahan… - … Journal of Engine …, 2023 - journals.sagepub.com
Over the past several decades, regulation of compression ignition engine emissions has
become increasingly stringent as concern about the environmental and health implications …
become increasingly stringent as concern about the environmental and health implications …