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...

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Vydané v:	2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS) s. 967 - 970
Hlavní autori:	Tian, Shasha, Zhang, Xiuguo, Zhang, Yingjun, Cao, Zhiying, Cao, Wei
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2019
Predmet:	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
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