A survey on computation offloading modeling for edge computing
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …
storage facilities toward the edge of a network. This new computing paradigm opens up new …
A review of energy harvesting techniques for Low Power Wide Area Networks (LPWANs)
The emergence of Internet of Things (IoT) architectures and applications has been the driver
for a rapid growth in wireless technologies for the Machine-to-Machine domain. In this …
for a rapid growth in wireless technologies for the Machine-to-Machine domain. In this …
Optimization of task offloading strategy for mobile edge computing based on multi-agent deep reinforcement learning
H Lu, C Gu, F Luo, W Ding, S Zheng, Y Shen - IEEE Access, 2020 - ieeexplore.ieee.org
Combined with wireless power transfer (WPT) technology, mobile edge computing can
provide continuous energy supply and computing resources for mobile devices, and …
provide continuous energy supply and computing resources for mobile devices, and …
The applicability of reinforcement learning methods in the development of industry 4.0 applications
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …
problems. Our article gives a systematic overview of major types of RL methods, their …
[PDF][PDF] Cloud-edge intelligence: Status quo and future prospective of edge computing approaches and applications in power system operation and control
In this paper, the current challenges faced by China′ s power grid are analyzed, and the
corresponding developmental background and key techniques of edge computing are …
corresponding developmental background and key techniques of edge computing are …
Network Resource Allocation Algorithm using Reinforcement Learning Policy-based Network in a Smart Grid Scenario
Z Zheng, Y Han, Y Chi, F Yuan, W Cui, H Zhu, Y Zhang… - Electronics, 2023 - mdpi.com
The exponential growth in user numbers has resulted in an overwhelming surge in data that
the smart grid must process. To tackle this challenge, edge computing emerges as a vital …
the smart grid must process. To tackle this challenge, edge computing emerges as a vital …
The internet of battle things: a survey on communication challenges and recent solutions
The use of Internet of Things (IoT) technology in military settings has introduced the notion of
“Internet of Battle Things”(IoBT), transforming modern warfare by interconnecting various …
“Internet of Battle Things”(IoBT), transforming modern warfare by interconnecting various …
Retention based energy harvesting technique for efficient internet of things aided edge devices
ZQ **e, P Poovendran, R Premalatha - Sustainable Energy Technologies …, 2021 - Elsevier
Energy harvesting (EH) in the internet of things (IoT) platform improves the efficiency of the
connected independent devices. In particular, edge devices provide in-network …
connected independent devices. In particular, edge devices provide in-network …
Energy Management in Edge Computing: Survey on Challenges and Future Research Opportunities
Global warming has posed a serious threat to humanity's survival, the carbon dioxide (CO 2)
concentrations in the atmosphere are widely acknowledged as its primary cause. As a result …
concentrations in the atmosphere are widely acknowledged as its primary cause. As a result …
[PDF][PDF] 5G Hybrid System Design and Energy Efficient Resource Allocation Deployment.
F Hu, A Chen, H Yang, H Zhang - Electrotehnica, Electronica …, 2022 - eea-journal.ro
Abstract 5G communication provide a promising platform for new, innovative and diverse
enhanced mobile broadband (eMBB) and massive device connectivity applications, such as …
enhanced mobile broadband (eMBB) and massive device connectivity applications, such as …