Results 261 to 270 of about 4,396,199 (295)

Wireless Powered Mobile Edge Computing Networks: A Survey

ACM Computing Surveys, 2023
Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve computing capabilities of mobile devices and energy compensation for their limited battery ...
Xiaojie Wang, Jiameng Li, Zhaolong Ning, Qingyang Song, Lei Guo, Song Guo, M. Obaidat   +6 more
semanticscholar   +1 more source

Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions

IEEE Communications Surveys and Tutorials, 2023
Full leverage of the huge volume of data generated on a large number of user devices for providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI).
Qiang Duan, Jun Huang, Shijing Hu, Ruijun Deng, Zhihui Lu, Shui Yu   +5 more
semanticscholar   +1 more source

Task offloading strategies for mobile edge computing: A survey

Comput. Networks
With the wide adoption of 5G technology and the rapid development of 6G technology, a variety of new applications have emerged. A multitude of compute-intensive and time-sensitive applications deployed on terminal equipment have placed increased demands ...
Shi Dong, Jun Tang, Khushnood Abbas, Ruizhe Hou, J. Kamruzzaman, Leszek Rutkowski, R. Buyya   +6 more
semanticscholar   +1 more source

Computation Offloading Toward Edge Computing

Proceedings of the IEEE, 2019
We are living in a world where massive end devices perform computing everywhere and everyday. However, these devices are constrained by the battery and computational resources. With the increasing number of intelligent applications (e.g., augmented reality and face recognition) that require much more computational power, they shift to perform ...
Li Lin 0001, Xiaofei Liao, Hai Jin 0001, Peng Li 0017   +3 more
openaire   +1 more source

Edge Computing

International Journal of Scientific Research in Engineering and Management
ABTRACT         This has emerged as an essential paradigm for the evolution of computing, reducing latency, enhancing bandwidth, and improving the user experience.
Manoj Seetaram Gowda, Vidyashree Vidyashree, Pradeep Nayak, Chiranjeevi Chiranjeevi, Nishath Fathima, Sanket Sanket   +5 more
semanticscholar   +2 more sources

The edge of computational photography

Communications of the ACM, 2019
Smartphones and consumer cameras increasingly give professional photographers a run for their money.
openaire   +1 more source

Urban Edge Computing

2020
The new paradigm of Edge Computing aims to bring resources for storage and computations closer to end devices, alleviating stress on core networks and enabling low-latency mobile applications. While Cloud Computing carries out processing in large centralized data centers, Edge Computing leverages smaller-scale resources— often termed cloudlets—in the ...
openaire   +2 more sources

Edge Computing Empowering Distributed Computing at the Edge

Edge computing is a revolutionary approach that enables processing and decision-making in close proximity to data sources, reducing latency and optimizing bandwidth usage. This paradigm involves various components such as edge devices, servers, and networks, integrating sensors, actuators, and IoT devices with real-time analysis enabled by edge ...
Yogita Yashveer Raghav, Ramesh Kait
openaire   +1 more source

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986
This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal assumptions about the form of the solution. We define detection
openaire   +2 more sources

Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey

IEEE Communications Surveys and Tutorials, 2023
Feng Lyu, Huaqing Wu, Xuemin Shen
exaly