Challenges and prospects of ambient hybrid solar cell applications
The impending implementation of billions of Internet of Things and wireless sensor network
devices has the potential to be the next digital revolution, if energy consumption and …
devices has the potential to be the next digital revolution, if energy consumption and …
[HTML][HTML] Towards zero-energy: Navigating the future with 6G in Cellular Internet of Things
Abstract The Cellular Internet of Things (CIoT) has seen significant growth in recent years.
With the deployment of 5G, it has become essential to reduce the power consumption of …
With the deployment of 5G, it has become essential to reduce the power consumption of …
Artificial intelligence implication on energy sustainability in Internet of Things: A survey
The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …
continuously increasing. The operations of these devices rely on consuming huge amounts …
Mb2c: Model-based deep reinforcement learning for multi-zone building control
Reinforcement learning has been widely studied for controlling Heating, Ventilation, and Air
conditioning (HVAC) systems. Most of the existing works are focused on Model-Free …
conditioning (HVAC) systems. Most of the existing works are focused on Model-Free …
Dual-attention assisted deep reinforcement learning algorithm for energy-efficient resource allocation in Industrial Internet of Things
Y Wang, F Shang, J Lei, X Zhu, H Qin, J Wen - Future Generation …, 2023 - Elsevier
This paper investigates the distributed resource allocation problem for energy-efficient data
forwarding in resource-constrained Industrial Internet of Things (IIoT). We formulate this …
forwarding in resource-constrained Industrial Internet of Things (IIoT). We formulate this …
RLS2: An energy efficient reinforcement learning-based sleep scheduling for energy harvesting WBANs
Abstract In the Energy-Harvesting Wireless Body Area Networks (EH-WBAN), one of the
fundamental challenges is preserving the self-sustainability of sensors without …
fundamental challenges is preserving the self-sustainability of sensors without …
Energy-efficient and delay-guaranteed routing algorithm for software-defined wireless sensor networks: A cooperative deep reinforcement learning approach
Y Wang, F Shang, J Lei - Journal of Network and Computer Applications, 2023 - Elsevier
Wireless sensor networks (WSNs) have undergone rapid development but still suffer from
energy shortage issues. Meanwhile, existing energy-efficient routing approaches lack a …
energy shortage issues. Meanwhile, existing energy-efficient routing approaches lack a …
Adaptive algorithms for batteryless lora-based sensors
Ambient energy-powered sensors are becoming increasingly crucial for the sustainability of
the Internet-of-Things (IoT). In particular, batteryless sensors are a cost-effective solution that …
the Internet-of-Things (IoT). In particular, batteryless sensors are a cost-effective solution that …
A survey of data collaborative sensing methods for smart agriculture
Data is becoming increasingly pivotal and foundational in the development of smart
agriculture, underscoring the importance of efficient methods for obtaining high-value data …
agriculture, underscoring the importance of efficient methods for obtaining high-value data …
Battery-aware energy optimization for satellite edge computing
Satellite edge computing can incur dramatically increased energy demand onboard, which
is met by satellite batteries during eclipses. Excessive energy usage during regular …
is met by satellite batteries during eclipses. Excessive energy usage during regular …