Increasing Energy Efficiency on Smartphones through Data forecashing

摘要

Smartphones are widely used in daily life to access\udservices and various functions require continuous communication,\udwhich leads to increased energy consumption. However,\udthe development of battery and related energy saving technology\udcan not meet the demand for energy consumption. Much\udof current research work focuses on energy models caring\udmuch about energy consumption of every single application.\udIn this paper, we propose a data forecasting-based strategy for\udincreasing energy efficiency on smartphones based on the predictability\udof data to be accessed. To achieve this, a combination\udof Collaborative filtering with the k-means algorithm categorize\udusers with similar user groups and speculate use increased for\udthe data users will access. With this model, we also adopt data\udpre-storing model and dynamic updating model. The simulation\udresults illustrate that our approach is leading to energy saving.