Results 21 to 30 of about 4,378 (256)

A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective

Qubahan Academic Journal, 2023
The rapid development of Internet of Things (IoT) technologies has led to increasingly complex software systems on Terminal Devices (TDs). This increases the computational load and battery consumption of TDs. The emergence of Multi-access Edge Computing
Wang Dayong, Kamalrulnizam Bin Abu Bakar, Babangida Isyaku   +2 more
doaj   +1 more source

Evidence-Aware Mobile Computational Offloading [PDF]

IEEE Transactions on Mobile Computing, 2018
Computational offloading can improve user experience of mobile apps through improved responsiveness and reduced energy footprint. A fundamental challenge in offloading is to distinguish situations where offloading is beneficial from those where it is counterproductive.
Flores, Huber, Hui, Pan, Nurmi, Petteri, Lagerspetz, Eemil, Tarkoma, Sasu, Manner, Jukka, Kostakos, Vassilis, Li, Yong, Su, Xiang   +9 more
openaire   +7 more sources

Dynamic Offloading Model for Distributed Collaboration in Edge Computing: A Use Case on Forest Fires Management

Applied Sciences, 2020
With the development of the Internet of Things (IoT), the amount of data is growing and becoming more diverse. There are several problems when transferring data to the cloud, such as limitations on network bandwidth and latency.
Jieun Kang, Svetlana Kim, Jaeho Kim, NakMyoung Sung, YongIk Yoon   +4 more
doaj   +1 more source

A computational offloading optimization scheme based on deep reinforcement learning in perceptual network.

PLoS ONE, 2023
Currently, the deep integration of the Internet of Things (IoT) and edge computing has improved the computing capability of the IoT perception layer.
Yongli Xing, Tao Ye, Sami Ullah, Muhammad Waqas, Hisham Alasmary, Zihui Liu   +5 more
doaj   +1 more source

Edge Computing Offloading of Ultra-Dense Network Based on Game Theory and Heuristic Algorithm [PDF]

Jisuanji gongcheng, 2022
When an Ultra-Dense Network(UDN) is combined with edge computing, the distribution of high-density base stations may repeatedly cover the same user.The base station chosen by the user for offloading affects the system's performance, which leads to the ...
LIU Zhenpeng, GUO Chao, WANG Shilei, CHEN Jie, LI Xiaofei
doaj   +1 more source

Energy-Efficient Offloading Based on Efficient Cognitive Energy Management Scheme in Edge Computing Device with Energy Optimization

Energies, 2022
Edge devices and their associated computing techniques require energy efficiency to improve sustainability over time. The operating edge devices are timed to swap between different states to achieve stabilized energy efficiency. This article introduces a
Vishnu Kumar Kaliappan, Aravind Babu Lalpet Ranganathan, Selvaraju Periasamy, Padmapriya Thirumalai, Tuan Anh Nguyen, Sangwoo Jeon, Dugki Min, Enumi Choi   +7 more
doaj   +1 more source

HAGP: A Heuristic Algorithm Based on Greedy Policy for Task Offloading with Reliability of MDs in MEC of the Industrial Internet

Sensors, 2021
In the Industrial Internet, computing- and power-limited mobile devices (MDs) in the production process can hardly support the computation-intensive or time-sensitive applications.
Min Guo, Xing Huang, Wei Wang, Bing Liang, Yanbing Yang, Lei Zhang, Liangyin Chen   +6 more
doaj   +1 more source

Cross-domain task offloading and computing resource allocation for edge computation in industrial Internet of things

物联网学报, 2020
In the industrial Internet of things,limited by the computing capacity of field devices,the task offloading based on edge computing can effectively alleviate the computing burden of field devices and provide low-latency computing services.Moreover ...
Peng ZHOU, Jincheng XU, Bo YANG
doaj   +2 more sources

A Task Oriented Computation Offloading Algorithm for Intelligent Vehicle Network With Mobile Edge Computing

IEEE Access, 2019
With the rise of intelligent and connected vehicles (ICVs), new vehicle applications continue to emerge, while the computing capability of vehicles remains limited.
Jun Liu, Shoubin Wang, Jintao Wang, Chang Liu, Yan Yan   +4 more
doaj   +1 more source

A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing

IEEE Access, 2020
Edge-cloud computing, combining the benefits of both edge computing and cloud computing, is one of the most promising ways to address the resource insufficiency of smart devices.
Bo Wang, Changhai Wang, Wanwei Huang, Ying Song, Xiaoyun Qin   +4 more
doaj   +1 more source