Paper Title
Power Management in Mobile Operating Systems A Comprehensive Review

Abstract
Power management in mobile operating systems, enhancing the efficiency of a device, and prolonging its battery life, is what this paper discusses. Mechanisms to deal with the power-hungry needs of smartphones and IoT devices will always look for performance standards to be maintained. Core techniques are discussed, including sleep mode, tick suppression, peripheral state control, and advanced models like the Time-Indexed Semi-Markov Decision Process (TISMDP) and PowerNap. Although effective, these techniques have implementation complexity, dependence on hardware, and compromise on performance. This report discusses the benefits and limitation of such techniques and prospects for integration with predictive analytics and cross-layer energy management.