Battery-Efficient Mobile Systems: Design Patterns and Performance Trade-offs

Sri Harsha Pothineni ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2025, vol. 8, issue 1, 258-263

Abstract: As mobile devices become increasingly central to modern life, optimizing battery efficiency remains a critical design concern for developers and system architects. This paper explores the fundamental design patterns and architectural strategies employed to create battery-efficient mobile systems. It examines various trade-offs between energy consumption, system performance, user experience, and responsiveness. Through case studies and performance benchmarks, we analyze the impact of techniques such as adaptive resource management, background task scheduling, sensor fusion, and hardware-software co-optimization. The paper also discusses emerging trends in low-power design, including machine learning-based energy profiling and context-aware optimization. Our findings offer practical guidelines for balancing functionality and energy usage in resource-constrained mobile environments.

Keywords: Battery Optimization; Mobile Systems Design; Energy-Efficient Architecture; Power-Aware Computing; Performance Trade-offs; Background Task Management; Adaptive Resource Allocation (search for similar items in EconPapers)
Date: 2025
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