Battery life optimization on android devices with a battery saver feature

Abstract

The Android operating system is used by 70% of people, or even more, around the world. Mobile Hotspot, Calling, Texting, Gaming, WIFI, Bluetooth, and other groundbreaking features are included in the Android Operating System. In devices that are so small that they fit in the palm of the hand. The open platform Android is gaining a lot of popularity as an operating system. Users can easily obtain and use new content and applications on their handsets thanks to its open source code. Linux's kernel is the foundation of Android. Every day, Android devices are being activated, making power management challenging. The device's short battery life is the most prevalent issue. In smartphones, this is uncommon. The power-hungry technologies of today, such as 3G, GPS, and 3GS, make devices more powerful. This approach will incorporate a learning engine and does not necessitate a client-server architecture. This learning will track user behavior regarding the apps they use, how much battery they use, and the contexts in which they use them. After that, we'll keep gathering data and feed it to a learning engine over time. This example based learning motor keenly choose, how to control the cell phones highlights. This will develop based on user behavior learning and would not include a power-saving profile that is predetermined.