A Power Saving Design via Optimized Network Selection for Multi-Mode Smartphones
Date Issued
2011
Date
2011
Author(s)
Liao, Chieh-Yu
Abstract
Smartphones have been widely used in recent years due to their capabilities of supporting many convenience and entertainment applications. Because mobile devices are dependent on battery power, how to extend the battery life of mobile phones has become one of the top issues in recent research and is the major motivation of this study.
In this thesis, we first present a measurement study of the energy consumption of mobile devices via two widespread mobile networking technologies: UMTS/HSPA and Wi-Fi. Smartphone user’s behavior is modeled for different types of user. Based on these measurements and user behavior models, an energy reduction mechanism is then proposed based on a finite-stage stochastic dynamic programming approach. This systematic approach can always choose the optimal connection strategies between UMTS/HSPA and Wi-Fi networks based on the condition of residual battery power and user’s behavior. We also proposed a heurist algorithm for minimal operation overhead.
According to the simulation results, the average power consumption is less than the non-optimized case. The algorithm also significantly decreases battery exhaustion probability by using the intelligent switching scheme between the networks. For future work, the generic approach can be implemented in smartphones to get real user’s behavior and select a network connection among UMTS/HSPA and Wi-F to extend the smartphones operating time.
Subjects
smartphone
power saving
exhaustion probability
user behavior
Finite Stage Model
SDGs
Type
thesis
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