Results 31 to 40 of about 3,036 (257)

Utility-Oriented Computation Scheduling for Energy-Efficient Mobile Edge Computing Networks

open access: yesIEEE Open Journal of the Computer Society, 2022
As a new computing paradigm, mobile edge computing (MEC) enables users to execute computation-intensive tasks at the network edge nodes (ENs) through computation offloading.
Ran Bi   +5 more
doaj   +1 more source

Optimal Multi-User Computation Offloading Strategy for Wireless Powered Sensor Networks

open access: yesIEEE Access, 2020
Wireless sensors network (WSN) is widely used for environmental monitoring, surveillance, healthcare, and security services. One of the most critical challenges that WSN facing is the heavy computation requirements and limited energy storage.
Luhan Wang   +4 more
doaj   +1 more source

Twin delayed deep deterministic policy gradient-based intelligent computation offloading for IoT

open access: yesDigital Communications and Networks, 2023
In view of the randomness distribution of multiple users in the dynamic large-scale Internet of Things (IoT) scenario, comprehensively formulating available resources for fog nodes in the area and achieving computation services at low cost have become ...
Siguang Chen, Bei Tang, Kun Wang
doaj   +1 more source

Toward Computation Offloading in Edge Computing: A Survey [PDF]

open access: yesIEEE Access, 2019
The explosive growth of massive data generation from Internet of Things in industrial, agricultural and scientific communities has led to a rapid increase for data analytics in cloud data centers. The ubiquitous and pervasive demand for near-data processing urges the edge computing paradigm in recent years.
Congfeng Jiang   +4 more
openaire   +2 more sources

Ultra-Low Latency Multi-Task Offloading in Mobile Edge Computing

open access: yesIEEE Access, 2021
With the development of computer technology, computational-intensive and delay-sensitive applications are emerging endlessly, and they are limited by the computing power and battery life of Smart Mobile Devices (SMDs).
Hongxia Zhang   +4 more
doaj   +1 more source

Multiobjective Optimization for Computation Offloading in Fog Computing

open access: yesIEEE Internet of Things Journal, 2018
Fog computing system is an emergent architecture for providing computing, storage, control, and networking capabilities for realizing Internet of Things. In the fog computing system, the mobile devices (MDs) can offload its data or computational expensive tasks to the fog node within its proximity, instead of distant cloud.
Liu, Liqing   +5 more
openaire   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Survey on computation offloading in mobile edge computing

open access: yesTongxin xuebao, 2018
Computation offloading in mobile edge computing would transfer the resource intensive computational tasks to the edge network.It can not only solve the shortage of mobile user equipment in resource storage,computation performance and energy efficiency ...
Renchao XIE   +4 more
doaj   +2 more sources

Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach

open access: yesEURASIP Journal on Wireless Communications and Networking, 2020
Mobile edge computing (MEC) emerges recently as a promising solution to relieve resource-limited mobile devices from computation-intensive tasks, which enables devices to offload workloads to nearby MEC servers and improve the quality of computation ...
Zhao Chen, Xiaodong Wang
doaj   +1 more source

Joint computation offloading and resource allocation in vehicular edge computing networks

open access: yesDigital Communications and Networks, 2023
Vehicular Edge Computing (VEC) is a promising technique to accommodate the computation-intensive and delay-sensitive tasks through offloading the tasks to the RoadSide-Unit (RSU) equipped with edge computing servers or neighboring vehicles. Nevertheless,
Shuang Liu   +3 more
doaj   +1 more source

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