Spatio-Temporal Position Prediction Model for Mobile Users Based on LSTM

In Mobile Edge Computing (MEC), the services that a user receives change dynamically with location due to the user's mobility. If we mine the user's location data, predicting the user's next location, we can get the user's services to be used. It is convenient for the edge server...

Full description

Bibliographic Details

Published in:	2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS) pp. 967 - 970
Main Authors:	Tian, Shasha, Zhang, Xiuguo, Zhang, Yingjun, Cao, Zhiying, Cao, Wei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2019
Subjects:	Computational modeling Data models Long short term memory Long Short-Term Memory (LSTM) Mobile Edge Computing (MEC) Multi-access edge computing Prediction algorithms Predictive models Principal component analysis Principal Components Analysis (PCA) Servers spatio temporal position prediction Spatiotemporal phenomena Trajectory
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!