Review of power converter impact of electromagnetic energy harvesting circuits and devices for autonomous sensor applications
The demand for power is increasing due to the rapid growth of the population. Therefore,
energy harvesting (EH) from ambient sources has become popular. The reduction of power …
energy harvesting (EH) from ambient sources has become popular. The reduction of power …
Harvnet: resource-optimized operation of multi-exit deep neural networks on energy harvesting devices
Optimizing deep neural networks (DNNs) running on resource-constrained devices, such as
energy harvesting sensor devices, poses unique challenges due to the limited memory and …
energy harvesting sensor devices, poses unique challenges due to the limited memory and …
Environment-monitoring IoT devices powered by a TEG which converts thermal flux between air and near-surface soil into electrical energy
Energy harvesting has an essential role in the development of reliable devices for
environmental wireless sensor networks (EWSN) in the Internet of Things (IoT), without …
environmental wireless sensor networks (EWSN) in the Internet of Things (IoT), without …
[HTML][HTML] Frequency band broadening and charge density enhancement of a vibrational triboelectric nanogenerator with two stoppers
Vibrational triboelectric nanogenerators (V-TENG) can be used to harvest broadband
vibration energy due to the nonlinear impact force induced by a stopper. However, V-TENGs …
vibration energy due to the nonlinear impact force induced by a stopper. However, V-TENGs …
An intelligent path planning mechanism for firefighting in wireless sensor and actor networks
Forests have an important role in environmental preservation and maintenance. The primary
threat is forest fires, which have disastrous repercussions. As a result, it is critical to identify …
threat is forest fires, which have disastrous repercussions. As a result, it is critical to identify …
Hybrid scheduling strategy of multiple mobile charging vehicles in wireless rechargeable sensor networks
Charging optimization is an important research issue in wireless rechargeable sensor
networks. The current researches on wireless charging mainly consider a single mobile …
networks. The current researches on wireless charging mainly consider a single mobile …
Adaptive Payoff Balance Among Mobile Wireless Chargers for Rechargeable Wireless Sensor Networks
H Guo, R Wu, B Qi, Y He, C Xu, J Gao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Wireless power transfer (WPT) based on mobile platforms, such as unmanned aerial vehicle
(UAV), has been recognized as a promised technique to prolong battery lifetime of resource …
(UAV), has been recognized as a promised technique to prolong battery lifetime of resource …
Energy-aware adaptive multi-exit neural network inference implementation for a millimeter-scale sensing system
Implementing a neural network (NN) inference in a millimeter-scale system is challenging
due to limited energy and storage size. This article proposes an energy-aware adaptive NN …
due to limited energy and storage size. This article proposes an energy-aware adaptive NN …
Optimizing of q-learning day/night energy strategy for solar harvesting environmental wireless sensor networks nodes
This research article presents the application of the Q-learning algorithm in the operational
duty cycle control of solar-powered environmental wireless sensor network (EWSN) nodes …
duty cycle control of solar-powered environmental wireless sensor network (EWSN) nodes …
Optimal neural network for predicting solar energy in sensor units based on a cascaded input/structure direct optimization
The sensor units are considered one of the significant technologies that use solar energy as
an assistant power source to the batteries. Despite their advantages over the other forms of …
an assistant power source to the batteries. Despite their advantages over the other forms of …