{"id":50987380,"url":"https://github.com/dfeen87/wave-native-network","last_synced_at":"2026-07-04T02:01:10.498Z","repository":{"id":362255867,"uuid":"1230236623","full_name":"dfeen87/Wave-Native-Network","owner":"dfeen87","description":"WNN is a wave-inspired overlay architecture using Duffing oscillator synchronization, phase-coherence handshakes, and deterministic stability scoring for adaptive peer trust and routing.","archived":false,"fork":false,"pushed_at":"2026-07-03T22:00:05.000Z","size":5310,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-07-03T22:25:42.741Z","etag":null,"topics":["aerospace-engineering","ai","computational-architecture","daemon","duffing-oscillator","infrastructure-as-code","internet","network","resonance","satellite","telecommunications","wave-native"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dfeen87.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-05T20:06:33.000Z","updated_at":"2026-07-03T21:58:31.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/dfeen87/Wave-Native-Network","commit_stats":null,"previous_names":["dfeen87/wave-native-network"],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/dfeen87/Wave-Native-Network","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfeen87%2FWave-Native-Network","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfeen87%2FWave-Native-Network/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfeen87%2FWave-Native-Network/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfeen87%2FWave-Native-Network/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dfeen87","download_url":"https://codeload.github.com/dfeen87/Wave-Native-Network/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfeen87%2FWave-Native-Network/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35107463,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-04T02:00:05.987Z","response_time":113,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["aerospace-engineering","ai","computational-architecture","daemon","duffing-oscillator","infrastructure-as-code","internet","network","resonance","satellite","telecommunications","wave-native"],"created_at":"2026-06-19T21:03:52.625Z","updated_at":"2026-07-04T02:01:10.493Z","avatar_url":"https://github.com/dfeen87.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Wave-Native Network (WNN)\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)\n[![Build: C++20](https://img.shields.io/badge/C%2B%2B-20-blue.svg)]()\n[![CI](https://github.com/dfeen87/Wave-Native-Network/actions/workflows/ci.yml/badge.svg)](https://github.com/dfeen87/Wave-Native-Network/actions)\n\n\u003e **A Deterministic Phase-Coherence Overlay for Edge Synchronization and Handoff-Stable Routing**\n\nThe Wave-Native Network (WNN) is an experimental deterministic phase-coherence overlay designed for edge synchronization and handoff-stable routing. It augments conventional network transport with oscillator-state tracking and stability-scored diagnostics. WNN is presented strictly as an engineering-level overlay and is **not** a replacement for IP routing, TCP, QUIC, TLS, or cryptographic authentication.\n\n---\n\n## Architecture Overview\n\nWNN treats established carrier infrastructure as a medium for a deeper, wave-driven synchronization layer.\n\n### 1. Node Heartbeat\n\nEach node maintains a deterministic oscillator heartbeat using a Duffing-type nonlinear equation:\n\n$$\\dot{x}+0.3\\dot{x}-1.0x+1.0x^{3}=0.5\\cos(\\omega t)$$\n\nThe local phase-memory state is represented by a low-dimensional deterministic state vector:\n\n$$\\Psi_{i}(t)=\\langle A_{i}(t),\\theta_{i}(t),\\omega_{i}(t),\\dot{x}_{i}(t),t_{s}\\rangle$$\n\nThis vector provides a compact deterministic state against which network synchronization, drift, and handoff continuity can be dynamically scored.\n\n### 2. Phase-Aware Routing Metric\n\nWNN augments standard routing cost logic by incorporating phase-state diagnostics into a composite hybrid metric:\n\n$$d_{WNN}=w_{L}L+w_{J}J+w_{\\phi}|\\Delta\\phi|+w_{\\omega}|\\Delta\\omega|+w_{\\Delta\\Phi}\\Delta\\Phi$$\n\nThis overlays traditional network latency ($L$) and jitter ($J$) with phase mismatch ($|\\Delta\\phi|$), frequency mismatch ($|\\Delta\\omega|$), and a scalar stability divergence ($\\Delta\\Phi$).\n\n### 3. Phase Salting and Replay-Sensitive Diagnostics\n\nThe prototype includes a deterministic perturbation tied to a shared epoch to act as a replay-sensitive diagnostic layer:\n\n$$\\delta_{salt}(t_{s})=(Hash(\\lfloor\\frac{t_{s}}{\\Delta E}\\rfloor\\oplus\\omega^{*})\\pmod{1000})10^{-5}$$\n\nThis is treated as an anomaly-scoring channel, not as a cryptographic primitive.\n\n---\n\n## Empirical Benchmarks \u0026 Simulation Results\n\nThe repository includes a reproducible benchmarking suite (located in `/simulations/`) built to evaluate the overlay's performance. Current empirical highlights include:\n\n* **Handoff Continuity:** During a simulated moving-node handoff event, the baseline continuity score drops from a pre-event mean of $0.945$ to a post-event mean of $0.484$. The WNN overlay absorbs the disruption, maintaining a highly stable post-event mean of $0.950$.\n\n\n* **Jitter \u0026 Loss Robustness:** Across paired robustness runs, WNN reduces the mean phase error by $34.91\\%\\pm0.73\\%$ relative to the baseline.\n\n\n* **Scalability:** The overlay degrades gracefully up to 500 simulated nodes, maintaining a $0\\%$ sync failure probability under tested parameters.\n\n\n* **Component Ablation:** Disabling internal WNN modules induces measurable recovery penalties. Disabling the lock detector increases the mean recovery time from $5333.5$ ms to $7243.5$ ms.\n\n\n* **Replay Detection (Limitation):** The $\\Delta\\Phi$ anomaly score acts as an experimental replay-sensitive heuristic. At the current fixed threshold, it achieves $76.57\\%$ accuracy but only a $40.88\\%$ recall and a $20.12\\%$ false-positive rate, which remains an active area of optimization.\n\n\n\n---\n\n## Reproducibility\n\nTo reproduce the exact CSV logs and figures used in the WNN manuscript:\n\n1. Ensure `CMake`, a C++20 compiler, and Python 3 (with `pandas`, `matplotlib`, and `seaborn`) are installed.\n2. Navigate to the `/simulations/` directory.\n3. Execute the automated data generation and plotting pipeline by running `./run_pipeline.sh`.\n4. Raw data matrices will output to `/data/` and 300 DPI visualizations will output to `/results/`.\n\n---\n\n## Build \u0026 Installation\n\nWNN is designed for bare-metal execution and requires a modern C++20 compiler to handle the mathematical vectorization required for localized edge hardware.\n\n**Prerequisites:**\n\n* CMake \u003e= 3.20\n* `libpcap-dev`\n* `gcc` or `clang` with C++20 support\n\n**Build Instructions:**\n\n```bash\ngit clone https://github.com/dfeen87/Wave-Native-Network.git\ncd Wave-Native-Network\nmkdir build \u0026\u0026 cd build\ncmake -DCMAKE_BUILD_TYPE=Release ..\nmake -j$(nproc)\n\n```\n\n## Configuration \u0026 Execution\n\nWNN requires root privileges to bind the `phy_interceptor` directly to the network interface.\n\n```bash\nsudo ./wavefrontd --interface eth0 --safety=strict\n\n```\n\n**Safety Modes:**\n\n* `--safety=strict` : Immediate routing refraction upon detecting anomalous metrics.\n* `--safety=relaxed` : Tolerates high-latency phase-shimmer.\n* `--safety=off` : Bypasses safety routing triggers entirely (Laboratory testing only).\n\n---\n\n## Acknowledgements\n\nI extend my deepest gratitude to Marcel Krüger, Independent Theoretical Physics Researcher. His pioneering work in Helix–Light–Vortex (HLV) dynamics and his original formulation of the Spiral-Time conceptual framework provided a critical theoretical catalyst for this project. The Spiral-Time mathematics and conceptual framework remain his exclusive intellectual property; its application here as a conceptual phase-memory terminology is deeply indebted to his original insights and collaborative spirit.\n\nI also wish to acknowledge Google for providing the ecosystem of advanced computational tools, infrastructure, and AI-driven environments that accelerated the development of this repository.\n\n## License\n\nThis project is licensed under the standard **MIT License**. See the `LICENSE` file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdfeen87%2Fwave-native-network","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdfeen87%2Fwave-native-network","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdfeen87%2Fwave-native-network/lists"}