Energy efficient for UAV-enabled mobile edge computing networks: Intelligent task prediction and offloading

Gaoxiang Wu; Yiming Miao; Yu Zhang; Ahmed Barnawi

doi:10.1016/j.comcom.2019.11.037

ScienceGate Book Chapters

JOURNAL ARTICLE

Energy efficient for UAV-enabled mobile edge computing networks: Intelligent task prediction and offloading

Gaoxiang Wu Yiming Miao Yu Zhang Ahmed Barnawi

Year: 2019 Journal: Computer Communications Vol: 150 Pages: 556-562 Publisher: Elsevier BV

DOI: 10.1016/j.comcom.2019.11.037

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Mobile edge computing Computation offloading Energy consumption Edge computing Node (physics) Enhanced Data Rates for GSM Evolution Efficient energy use Task (project management) Distributed computing Computation Real-time computing Relay Base station Computer network Artificial intelligence Algorithm

Metrics

Cited By

8.74

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Energy efficient for UAV-enabled mobile edge computing networks: Intelligent task prediction and offloading

Metrics

Citation History

Topics

Related Documents

Energy-efficient task offloading and trajectory planning in UAV-enabled mobile edge computing networks

Energy Efficient Task Offloading for UAV-assisted Mobile Edge Computing

Secure Task Offloading Design for UAV- Enabled NOMA Mobile Edge Computing Networks

Intelligent task offloading and collaborative computation in multi-UAV-enabled mobile edge computing

Agent-enabled task offloading in UAV-aided mobile edge computing