Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks.
Lijuan XuMeng QinQinghai YangKyung Sup KwakPublished in: WCSP (2019)
Keyphrases
- reinforcement learning
- dynamic access control
- prediction accuracy
- social networks
- access control
- mobile computing
- management system
- prediction error
- function approximation
- prediction model
- computer networks
- network connectivity
- multimedia services
- mobile applications
- neural network ensemble
- multi agent
- state space
- mobile wireless
- markov decision processes
- delay tolerant
- context aware
- edge detection
- network structure
- ubiquitous computing
- mobile phone
- mobile technologies
- reinforcement learning algorithms
- mobile devices
- machine learning
- wireless medium
- electric vehicles
- mobile nodes
- mobile networks
- edge information
- big data
- mobile learning
- multiscale
- shortest path
- learning process