Optimizing Information Freshness in MEC-Assisted Status ...
To combat the limited battery capacity at IoT devices, energy harvesting (EH) is leveraged to capture the green energy from ambient environment. Specifically, we investigate an age minimization problem by considering the randomness in energy arrivals, heterogeneity in harvesting mode, and the stochasticity in transmission and computing process.
Dynamic Computation Offloading With Energy Harvesting
We study a joint partial offloading and resource allocations (JPORA) problem for the mobile edge computing (MEC) with energy harvesting (EH), where the number of MDs, computation task, and ...
Age of information in energy harvesting dual-sensor status update ...
Two sensors with the finite battery of size B, synchronously harvest energy from the random arrival energy modeled by a Bernoulli process with probability δ k, and generate …
Decentralized DNN Task Partitioning and Offloading Control in MEC ...
A decentralized deep neural network task partitioning and offloading control problem for a multi-access edge computing (MEC) system with multiple wireless devices (WDs) powered by renewable energy sources is studied and the proposed online learning algorithm can achieve significant performance gain over various state-of-the-art baselines. In this paper, we …
Resource management for computational offload in MEC …
In mobile edge computing (MEC) networks, the integrated application of energy harvesting (EH) and relay cooperation is a promising technology, which ensures the real-time performance of the system and computing power supply. Relay and EH cooperation also expand communication range and extend the battery life of energy-constrained devices.
Online Distributed Offloading and Computing Resource …
Mobile edge computing (MEC) and energy harvesting (EH) technologies can significantly improve the user experience by offloading computation tasks to edge-cloud servers as well as achieving green ...
Multiple Relays Assisted MEC System for Dynamic Offloading
2.5 Energy Harvesting and Battery Energy Levels. In this paper, we have configured energy harvesting devices for each IoT device. The device harvest green energy in the environment, such as wind and solar energy, to provide power for IoT devices.
Research on energy transmission strategy based on MEC in …
Mobile edge computing (MEC) can provide rich computing services near mobile terminals, making it possible for computing intensive tasks to be performed at the edge, however, when renewable energy is the main power supply method for MEC servers, due to the unpredictability of renewable energy, the server will generate additional processing delays due …
Throughput-Aware Dynamic Task Offloading Under ...
This paper focuses on the task offloading problem for an MEC system with multiple energy harvesting (EH) devices. To accommodate the system dynamics and ensure the system stability in terms of task queue and battery level, we apply Lyapunov optimization theory, and design a computation tasks maximum offloading algorithm to maximize the system …
Computational Offloading for MEC Networks with Energy Harvesting…
lem of an energy harvesting multi-user MEC system and propose a multi-agent based AC. algorithm to solve the problem, where each user is an agent and the agents collaborate with. each other to ...
Throughput-Aware Dynamic Task Offloading Under Resource …
Thus, the devices cannot utilize renewable energy and only handle the tasks by remote offloading. In our work, IoT devices with energy harvesting modules and com-puting abilities are considered. Therefore, IoT devices can utilize renewable energy to provide a portion of the power. The tasks not only can be processed locally but
MEC Server Status Optimization Framework for Energy Efficient …
1 · Reducing energy consumption in a MEC (Multi-Access Edge Computing) system is a critical goal, both for lowering operational expenses and promoting environmental …
Choosing Power Management IC for Energy-Harvesting | DigiKey
A review of recent developments in PMICs for energy-harvesting design ... (Figure 1). It is optimized to work with the THINERGY ultra-thin, postage-stamp-sized micro-energy cell (MEC) rechargeable battery from Infinite Power Solutions. ... the system microcontroller. Using this interface, it can accept basic operational commands and also report ...
Optimization of Mobile MEC Offloading with Energy Harvesting …
In mobile edge computing (MEC) systems with energy harvesting, edge devices are powered by unstable energy harvested from the environment. To prolong the lifetime of edge devices, some computing tasks should be offloaded to MEC servers. ... By clicking download,a status dialog will open to start the export process.
Decentralized DNN Task Partitioning and Offloading Control in MEC ...
Mobile-edge computing (MEC) has evolved as a promising technology to alleviate the computing pressure of mobile devices by offloading computation tasks to MEC server. Energy management is ...
Multi-Agent Deep Reinforcement Learning for D2D-assisted MEC …
The integration of mobile-edge computing (MEC) and energy harvesting (EH) can potentially improve the network performances and prolong the battery life of the device. In this article, we study the ...
Joint Computation Offloading and Resource Allocation for Maritime MEC ...
A multiaccess edge computing (MEC)-enabled sea lane monitoring network (MSLMN) architecture with energy harvesting (EH) is established to support dynamic ship tracking, accident forensics, and anti-fouling through real-time maritime traffic scene monitoring through real-time maritime traffic scene monitoring. In this article, we establish a multiaccess …
AoI-Aware Wireless Resource Allocation of Energy-Harvesting-Powered MEC ...
At the same time, energy harvesting (EH) is considered as a potential technology to prolong the network lifetime of the energy-limited IoT devices. In this article, we investigate the data analysis scenario in IoT architecture, where data are generated by wireless devices (WDs) and uploaded to the MEC server for centralized data processing.
Optimization of Mobile MEC Offloading with Energy Harvesting …
DOI: 10.1109/WCNC.2019.8885971 Corpus ID: 207757539; Optimization of Mobile MEC Offloading with Energy Harvesting and Dynamic Voltage Scaling @article{Zhuang2019OptimizationOM, title={Optimization of Mobile MEC Offloading with Energy Harvesting and Dynamic Voltage Scaling}, author={Yuandong Zhuang and Xi Li and Hong Ji …
Multiple Relays Assisted MEC System for Dynamic Offloading …
Multiple Relays Assisted MEC System for Dynamic Offloading and Resource Scheduling with Energy Harvesting. Authors: Jiming Wang, Long Qu Authors ... Dawy, Z.: MEC-based energy-aware distributed feature extraction for mHealth applications with strict latency requirements. In: 2021 IEEE International Conference on Communications Workshops (ICC ...
DDPG Based Computation Offloading and Resource Allocation for MEC ...
In this paper, we investigate the problem of power consumption in a multi-user MEC system with energy harvesting (EH) devices. The system power consumption, which includes the local execution ...
Resource management for computational offload in MEC …
DOI: 10.1016/j com.2024.05.004 Corpus ID: 269699500; Resource management for computational offload in MEC networks with energy harvesting and relay assistance @article{Liu2024ResourceMF, title={Resource management for computational offload in MEC networks with energy harvesting and relay assistance}, author={Zhixin Liu and Yuanzi Wu and …
Efficient Offloading in UAV-MEC IoT Networks ...
Considering unpredictable MEC environments and low-power Internet of things (IoT) devices, this paper proposes a digital twin-assisted task offloading scheme in UAV-MEC networks with energy harvesting. The goal is to minimize latency and maximize the number of associated IoT devices by optimizing UAV placement and IoT device association.
AoI-Aware Wireless Resource Allocation of Energy-Harvesting-Powered MEC ...
Mobile-edge computing (MEC) has been deployed to enhance the data analysis performance of Internet of Things (IoT) and alleviate the shortage of computing resources for IoT devices. At the same time, energy harvesting (EH) is considered as a potential technology to prolong the network lifetime of the energy-limited IoT devices. In this article, we investigate …
Computational Offloading for MEC Networks with Energy Harvesting…
This paper investigates the computational offloading problem in multi-user multi-server MEC systems with energy harvesting, aiming to minimize both system latency and energy consumption by optimizing task offload location selection and task offloading ratio. Multi-access edge computing (MEC) is a novel computing paradigm that leverages nearby MEC servers to …
Dynamic Computation Offloading for MIMO Mobile Edge …
DOI: 10.1109/TVT.2021.3075018 Corpus ID: 233340596; Dynamic Computation Offloading for MIMO Mobile Edge Computing Systems With Energy Harvesting @article{Zhou2021DynamicCO, title={Dynamic Computation Offloading for MIMO Mobile Edge Computing Systems With Energy Harvesting}, author={Wen Zhou and Ling Xing and Junjuan Xia and Lisheng Fan and …
Abstract: Aiming at low energy efficiency and single energy service of resource-constrained terminal devices caused by intensive computing tasks offloading in mobile edge computing (MEC), a system energy efficiency optimization scheme based on energy harvesting is proposed. Firstly, the energy harvesting status and power allocation of users are analyzed under the …
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Resource Reservation Contract Design for Mobile Edge …
S. Xia, Z. Yao, Y. Li, S. Mao. 2021. Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-Enabled IoT. IEEE Transactions on Wireless Communications. 20, 10 (Oct. 2021), 6743-6757. Crossref. ... By clicking download,a status dialog will open to start the export process.
Joint Computation Offloading and Resource Allocation for Maritime MEC ...
resolve energy supply for communications and computing for long term operations is highly challenging and energy harvesting (EH) still remains a promising solution [17], [18]. Most existing studies mainly focus on the energy management for EH-enabled end devices. The use of EH to power small cell base stations (SBS) has also been proposed to ...
A Multi-Agent RL Algorithm for Dynamic Task …
We propose a novel scheme that leverages dynamic voltage and frequency scaling (DVFS) and energy harvesting (EH) to enhance energy efficiency and minimize task delays in MEC networks operating under energy …
Research on energy transmission strategy based on MEC in …
system with energy harvesting equipment is considered, but the influence of the MEC energy state on the system is not considered. In [3], although the energy state of the MEC is considered, when the energy is upload tasks to the central cloud when insufficient, which will