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An Energy-Efficient Localization Strategy for Smartphones

机译:智能手机的节能本地化策略

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In recent years, smartphones have become prevalent. Much attention is being paid to developing and making use of mobile applications that require position information. The Global Positioning System (GPS) is a very popular localization technique used by these applications because of its high accuracy. However, GPS incurs an unacceptable energy consumption, which severely limits the use of smartphones and reduces the battery lifetime. Then an urgent requirement for these applications is a localization strategy that not only provides enough accurate position information to meet users' need but also consumes less energy. In this paper, we present an energy-efficient localization strategy for smartphone applications. On one hand, it can dynamically estimate the next localization time point to avoid unnecessary localization operations. On the other hand, it can also automatically select the energy-optimal localization method. We evaluate the strategy through a series of simulations. Experimental results show that it can significantly reduce the localization energy consumption of smartphones while ensuring a good satisfaction degree.
机译:近年来,智能手机已经普及。对于需要位置信息的移动应用程序的开发和使用已经引起了极大的关注。全球定位系统(GPS)是一种非常流行的定位技术,因其具有很高的准确性而被这些应用程序使用。但是,GPS会产生不可接受的能耗,从而严重限制了智能手机的使用并缩短了电池寿命。对于这些应用的迫切需求是一种定位策略,该策略不仅可以提供足够准确的位置信息来满足用户的需求,而且消耗的能源更少。在本文中,我们提出了针对智能手机应用的节能本地化策略。一方面,它可以动态估计下一个本地化时间点,以避免不必要的本地化操作。另一方面,它也可以自动选择能量最佳的定位方法。我们通过一系列模拟评估该策略。实验结果表明,在保证良好满意度的同时,可以显着降低智能手机的本地化能耗。

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