GreenNet-Mobile: An Eco-Friendly Interface Selection and Memory-Efficient Architecture for Reducing Mobile Energy Consumption

Modern heterogeneous mobile computing environments introduce substantial continuous energy drain and electronic storage wear due to unoptimized background cellular radio activation and frequent virtual memory swapping. This paper presents GreenNet-Mobile, a novel software-defined, eco-friendly networking framework designed to optimize energy efficiency and extend device hardware lifespan. The framework introduces a zero-GPS, low-power proximity detection algorithm utilizing ambient Received Signal Strength Indicator (RSSI) differentials to compute a dynamic Proximity Index (P_i), bypassing high-power satellite navigation hardware and yielding an 82% reduction in sensing current draw. Upon proximity verification, a deterministic socket-binding engine forces active data streams onto local Wireless Local Area Network (WLAN) interfaces using kernel-level descriptors, maintaining cellular baseband modems in power-saving sleep states. Furthermore, to combat physical storage wear-out and prevent unnecessary Electronic Waste (E-Waste), cryptographic session state memory is locked into volatile RAM using POSIX mlock routines and cleared via automated zeroization, eliminating write operations to physical NAND flash storage. Simulated benchmarks demonstrate significant reductions in endpoint carbon footprint and hardware degradation, supporting United Nations Sustainable Development Goals 12 and 13.