Hardware-Accelerated Autonomous Mesh Architecture: Translating GMSPM Mathematical Equations into Silicon-Level Binary Logic, Microprocessor Core Pipelines, and Novel G-SIL Series Patent Claims

Hardware-Accelerated Autonomous Mesh Architecture: Translating GMSPM Mathematical Equations into Silicon-Level Binary Logic, Microprocessor Core Pipelines, and Novel G-SIL Series Patent Claims Gurav`s AetherMesh Sovereign System Adv. Sanjay Vidya Vijay GuravIndependent Legal Consultant, Systems Architect Abstract This research paper establishes a formal blueprint for translating the Gurav-Mesh Stability & Propagation Model (GMSPM) from high-level abstract mathematical frameworks directly into silicon-level binary logic, Arithmetic Logic Unit (ALU) hardware pipelines, and microprocessor core architectures. Traditional mesh networking and packet routing rely heavily on software-stack execution, introducing substantial processing overhead, latency, and high energy consumption. By hardcoding GMSPM’s core mathematical formulations—specifically the delivery latency equation (T_delivery) and the Hop-Count TTL boundary (H_max)—into hardware logic gates, registers, and L1/L2 cache controllers, this research introduces a novel Hardware-Accelerated Autonomous Mesh Architecture (G-SIL Series). This paradigm eliminates software stack delays, achieves sub-nanosecond packet filtering, and zero-latency, ultra-low power decentralized routing. Furthermore, this paper provides a robust intellectual property, patentability, formal patent claims, and copyright analysis under international jurisprudence and Section 45 of the Copyright Act, 1957, establishing clear eligibility for semiconductor layout designs and system-on-chip (SoC) patent protection. 1. Introduction & Theoretical Foundation Decentralized communication and serverless mesh networks have traditionally operated within the application and transport layers of software protocol stacks. While effective in intermittent or infrastructure-less environments (such as tactical military deployments, subterranean mining, and disaster relief), software-based packet routing incurs severe limitations in processing speed, clock-cycle consumption, and thermal efficiency. To overcome these physical bottlenecks, Adv. Sanjay Vidya Vijay Gurav formulated the hardware-level translation of the Gurav-Mesh Stability & Propagation Model (GMSPM). GMSPM bridges advanced mathematical control theory with physical computing by embedding its core routing mechanics directly into the silicon substrate of microprocessors. This shifts network routing from a CPU-bound software task to a native hardware-accelerated computation.