An Effective Task Migration Scheme Based on Intelligent Prediction in Mobile Edge Networks

N Wang, S Wu, G Zou, Z Zhang… - 2023 9th International …, 2023 - ieeexplore.ieee.org
With the rapid growth of data from the Internet of Things (IoT), traditional centralized cloud
computing is becoming overwhelmed and inefficient. Mobile edge computing offers a …

Energy-Efficient In-Network Computing at Mobile Edge Networks

X Liu, D Zheng, X Cao - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Mobile edge networks combine the advantages of cloud, edge, and mobile networks
bringing high computing capacity with low latency to mobile users at the network edge. With …

Intelligent Multi-resources Allocation for Emergency Communications with Limited User Equipment Energy in UAV-assisted Networks

X Dong, L Wang, Y Lin, P Qian, J Du… - 2023 9th International …, 2023 - ieeexplore.ieee.org
In wireless system, unmanned aerial vehicle (UAV) can play an important role as it can be
deployed flexibly to help improve coverage and quality of communication. In this paper, we …

IoT Deployment at Smart Office Environment with Edge Server

P Yugopuspito, MA Solang, MZ Mubarok… - Proceedings of the …, 2023 - dl.acm.org
In today's rapidly evolving tech landscape, the Internet of Things (IoT) stands out as a pivotal
innovation, redefining our understanding of built environments. IoT offers vast potential for …

Time-variant Resource Allocation in Multi-Ap802. 11be Network: A DDPG-based Approach

Z Du, Y Liu, Y Yu, L Cuthbert - 2023 8th International …, 2023 - ieeexplore.ieee.org
With the development of the 802.11 be standard which incorporates Orthogonal Frequency
Division Multiple Access (OFDMA), there will be more real-world scenarios which have more …