Mobile device prediction for location-based cloud service

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概要

• 論文の詳細を見る

• Mobility prediction is one of the most essential issues which need to be explored for management in a location-based cloud service. A good prediction algorithm can not only reduce power consumption and waiting time, but also increase dependability of mobile devices. Existing prediction methods are generally based on mass history data. However, they can`t work well on the prediction of a device which has the features of short moving time and elusive moving tendency. Taking into account these characteristics, we proposed a prediction method based on an Adaptive Markov Chain Monte Carlo method for mobile device prediction. Simulation results show that the proposed algorithm has more efficiency than traditional algorithm.

• 一般社団法人電子情報通信学会の論文
• 2012-12-07

著者

• Kitakami Masato

  Graduate School Of Advanced Integration Science Chiba University

• Yan Haibo

  Graduate School of Advanced Integration Science Chiba University

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• Mobile device prediction for location-based cloud service

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