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Mobile Networks and Applications

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01-04-2016

Multi-hop Mobility Prediction

Authors: Zhiyong Yu, Zhiwen Yu, Yuzhong Chen

Published in: Mobile Networks and Applications | Issue 2/2016

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Abstract

With the occurrence of large-scale human trajectories, which imply spatial and temporal patterns, the subject of mobility prediction has been widely studied. A number of approaches are proposed to predict the next location of a user. In this paper, we expect to lengthen the temporal dimension of prediction results beyond one hop. To predict the future locations of a user at every time unit within a specified time, we propose a Markov-based multi-hop mobility prediction (Markov–MHMP) algorithm. It is a hybrid approach that considers multiple factors including personal habit, weekday similarity, and collective behavior. On a GPS dataset, our approach performs prediction better than baseline and state-of-the-art approaches under several evaluation criteria.

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Title: Multi-hop Mobility Prediction
Authors: Zhiyong Yu
Zhiwen Yu
Yuzhong Chen
Publication date: 01-04-2016
Publisher: Springer US
Published in: Mobile Networks and Applications / Issue 2/2016
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI: https://doi.org/10.1007/s11036-015-0668-2

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