ENERGY-EFFICIENT MOBILE OPERATING SYSTEMS THROUGH INTELLIGENT BACKGROUND PROCESS MANAGEMENT

Abstract

Mobile operating systems continuously manage multiple background processes such as synchronization services, notifications, location tracking, application updates, and network communication. Although these processes improve user experience, they also consume significant battery power, memory, and CPU resources when not properly controlled. This paper examines how intelligent background process management can improve energy efficiency in mobile operating systems. The proposed approach focuses on monitoring background application behavior, identifying unnecessary resource usage, and applying adaptive scheduling, process limitation, and priority-based execution. By using intelligent decision-making mechanisms, the system can reduce excessive wake-ups, limit non-critical background tasks, and allocate resources according to application importance and user activity patterns. The study highlights that intelligent background management can reduce power consumption, improve battery lifetime, and maintain acceptable application responsiveness. The results suggest that adaptive control of background processes is an effective strategy for enhancing mobile device performance without negatively affecting user experience. This research contributes to the development of smarter mobile operating systems that balance energy saving, usability, and system stability.