Power-saving actionable recommendation system to minimize battery drainage in smartphones

Abstract

The issue of smartphone battery drainage is a common and widespread concern faced by numerous users. This problem arises due to the convergence of various factors, foremost among them being intensive active usage, the concurrent operation of numerous background applications, elevated screen brightness levels, persistent bad network connectivity, and the increased requirements on the device’s hardware elements. Mitigating this problem requires a strategic approach to reduce the processes running in the background, calibrate an optimal screen brightness, and disable idle or underutilized sensors and hardware components. Achieving an effective balance in managing these multifaceted aspects is vital for enhancing device efficiency, reducing battery drainage, and ultimately optimizing the overall usability of smartphones. In the context of this research, we present an innovative recommendation engine designed to empower users with actionable recommendations. These recommendations are actions to be taken in the system variable settings and interaction with the smartphone that will minimize battery drainage. Through rigorous testing in real-world scenarios, our recommendation engine has demonstrated tangible success, yielding an approximately daily smartphone usage extension of an average of 3.5 h in real-world testing, thus underscoring its practical efficacy and potential for substantial impact on user experience and device longevity.