A Reinforcement Learning Based Task Offloading Scheme for Vehicular Edge Computing Network

Jie Zhang; Hongzhi Guo; Jiajia Liu

doi:10.1007/978-3-030-22971-9_38

ScienceGate Book Chapters

BOOK-CHAPTER

A Reinforcement Learning Based Task Offloading Scheme for Vehicular Edge Computing Network

Jie Zhang Hongzhi Guo Jiajia Liu

Year: 2019 Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Pages: 438-449

DOI: 10.1007/978-3-030-22971-9_38

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Mobile edge computing Reinforcement learning Bottleneck Edge computing Distributed computing Server Computation offloading Scheme (mathematics) Vehicular ad hoc network Enhanced Data Rates for GSM Evolution Computer network Artificial intelligence Wireless ad hoc network Wireless Embedded system

Metrics

Cited By

3.41

FWCI (Field Weighted Citation Impact)

Refs

0.93

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

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Vehicular Ad Hoc Networks (VANETs)

Physical Sciences → Engineering → Electrical and Electronic Engineering

A Reinforcement Learning Based Task Offloading Scheme for Vehicular Edge Computing Network

Metrics

Citation History

Topics

Related Documents

Adaptive Task Offloading in Vehicular Edge Computing Networks: a Reinforcement Learning Based Scheme

Task Offloading in Vehicular Edge Computing Network Using Deep Reinforcement Learning

Collaborative Vehicular Edge Cloud Computing Task Offloading Optimization Scheme Based on Deep Reinforcement Learning

Learning While Offloading: Task Offloading in Vehicular Edge Computing Network

Deep reinforcement learning for task offloading in vehicular edge computing