Learning-based computation offloading for IoT devices with energy harvesting
Internet of Things (IoT) devices can apply mobile edge computing (MEC) and energy
harvesting (EH) to provide high-level experiences for computational intensive applications …
harvesting (EH) to provide high-level experiences for computational intensive applications …
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 …
increasing computation demands in Internet of Things (IoT). However, due to the limited …
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
Reinforcement learning for intelligent online computation offloading in wireless powered edge networks
The method of charging mobile devices with wireless power transfer (WPT) from the base
station (BS) integrated with mobile edge computing (MEC) increases the potential of MEC …
station (BS) integrated with mobile edge computing (MEC) increases the potential of MEC …
Joint optimization of data offloading and resource allocation with renewable energy aware for IoT devices: A deep reinforcement learning approach
H Ke, J Wang, H Wang, Y Ge - IEEE Access, 2019 - ieeexplore.ieee.org
A large number of connected sensors and devices in Internet of Things (IoT) can generate
large amounts of computing data and increase massive energy consumption. Real-time …
large amounts of computing data and increase massive energy consumption. Real-time …
Dynamic computation offloading with energy harvesting devices: A hybrid-decision-based deep reinforcement learning approach
Mobile-edge computing (MEC) with energy harvesting (EH) is becoming an emerging
paradigm to improve the computation experience for the Internet-of-Things (IoT) devices. For …
paradigm to improve the computation experience for the Internet-of-Things (IoT) devices. For …
Online learning for offloading and autoscaling in energy harvesting mobile edge computing
Mobile edge computing (also known as fog computing) has recently emerged to enable in-
situ processing of delay-sensitive applications at the edge of mobile networks. Providing grid …
situ processing of delay-sensitive applications at the edge of mobile networks. Providing grid …
Lyapunov-based partial computation offloading for multiple mobile devices enabled by harvested energy in MEC
Mobile-edge computing (MEC) has been garnering considerable level of interests by
processing computation tasks nearby mobile devices (MDs). With limited computation and …
processing computation tasks nearby mobile devices (MDs). With limited computation and …
Partial offloading in energy harvested mobile edge computing: A direct search approach
In the next generation wireless communication paradigm, the number of devices are
expected to increase exponentially after the concept of Internet of Things (IoT). These …
expected to increase exponentially after the concept of Internet of Things (IoT). These …
Mobility-aware offloading and resource allocation in a MEC-enabled IoT network with energy harvesting
Mobile-edge computing (MEC)-enabled Internet of Things (IoT) networks have been
deemed a promising paradigm to support massive energy-constrained and computation …
deemed a promising paradigm to support massive energy-constrained and computation …