Dynamic edge computation offloading for Internet of Things with energy harvesting: A learning method

Z Wei, B Zhao, J Su, X Lu - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently emerged as a promising paradigm to meet the
increasing computation demands in Internet of Things (IoT). However, due to the limited …

Reinforcement learning-based adaptive transmission in time-varying underwater acoustic channels

C Wang, Z Wang, W Sun, DR Fuhrmann - IEEE access, 2017 - ieeexplore.ieee.org
This paper studies adaptive transmission in an underwater acoustic (UWA) point-to-point
communication system that operates on an epoch-by-epoch basis for a long term. A fixed …

DRL-based multidimensional resource management in SWIPT-NOMA-enabled MEC

Z Shi, X Xie, H Lu, H Yang, Z Xiong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) enables communication users with limited computation
power to offload computation-intensive tasks to the edge server, thus dramatically …

AoI-aware wireless resource allocation of energy-harvesting-powered MEC systems

C Zhao, S Xu, J Ren - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
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 …

Learning to tradeoff between energy efficiency and delay in energy harvesting-powered D2D communication: A distributed experience-sharing algorithm

Y Luo, M Zeng, H Jiang - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Efficient energy management, especially in terms of energy efficiency (EE) optimization, is
the cornerstone to realize the energy harvesting (EH)-powered device-to-device (D2D) …

RF energy harvesting: an analysis of wireless sensor networks for reliable communication

H Tran, J Åkerberg, M Björkman, HV Tran - Wireless Networks, 2019 - Springer
In this paper, we consider a wireless energy harvesting network consisting of one hybrid
access point (HAP) having multiple antennas, and multiple sensor nodes each equipped …

Revisiting effectiveness of energy conserving opportunistic transmission schemes in energy harvesting wireless sensor networks

SS Gupta, NB Mehta - IEEE Transactions on Communications, 2018 - ieeexplore.ieee.org
Opportunistic transmission schemes improve the lifetime of conventional wireless sensor
networks (WSNs) by reducing the number of transmissions. However, this comes at the …

Novel Mathematical Framework for Performance Analysis of Energy Harvesting Based Point-to-Point Communications

D Beohar, L Musavian, S Aïssa - IEEE Access, 2023 - ieeexplore.ieee.org
This paper presents a novel performance evaluation framework for energy harvesting
communications. As the harvested energy may not always be at the required levels in the …

Finite-horizon energy-efficient scheduling with energy harvesting transmitters over fading channels

BT Bacinoglu, E Uysal-Biyikoglu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, energy-efficient transmission schemes achieving maximal throughput over a
finite time interval are studied in a problem setting, including energy harvests, data arrivals …

Optimal selective transmission policy for energy-harvesting wireless sensors via monotone neural networks

K Wu, F Li, C Tellambura… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
We investigate the optimal transmission policy for an energy-harvesting wireless sensor
node. The node must decide whether an arrived packet should be transmitted or dropped …