Files
ruvnet--RuView/docs/adr
ruv f23e34ee5c feat(firmware): ESP32-C6 target — Wi-Fi 6 / 802.15.4 / TWT / LP-core (ADR-110)
`firmware/esp32-csi-node` now builds for both `esp32s3` (existing
production) and `esp32c6` (new research / battery-seed target) from
the same source tree. ESP-IDF auto-applies `sdkconfig.defaults.esp32c6`
when the target is set to esp32c6; every C6 module is gated on
CONFIG_IDF_TARGET_ESP32C6 (or the SOC_WIFI_HE_SUPPORT capability) so
the S3 build path is byte-identical to today.

New modules (all #ifdef-gated, no-op stubs on S3):
- c6_twt.{h,c}      — iTWT wrapper, graceful AP-NACK fallback
- c6_timesync.{h,c} — 802.15.4 beacon-based mesh time-sync, EUI-64
                      leader election, c6_timesync_get_epoch_us()
- c6_lp_core.{h,c}  — wake-on-motion deep-sleep helper (ext1 path
                      this cut; real LP-core polling deferred)

ADR-018 frame extension:
- byte 18: PPDU type (0=HT/legacy, 1=HE-SU, 2=HE-MU, 3=HE-TB)
- byte 19: bandwidth + STBC + 802.15.4-sync-valid flags
- Magic 0xC5110001 unchanged — backwards compatible
- Dual-branch encoding handles both struct variants of
  wifi_pkt_rx_ctrl_t (legacy S3 / HE C6) per CONFIG_SOC_WIFI_HE_SUPPORT

Critical bug fixed during live witness collection (verified across 3
boards on COM6/COM9/COM12):
- c6_timesync.c read MAC into a 6-byte buffer and ran MAC-48->EUI-64
  conversion. But esp_read_mac(ESP_MAC_IEEE802154) returns 8 bytes
  already in EUI-64 form on C6 — code was double-inserting FFFE.
  Boot log was 206ef1fffefffe17, fix yields 206ef1fffe17278c which
  matches esptool's eFuse reading exactly.

Tooling:
- CI workflow (firmware-ci.yml) extended with c6-4mb matrix row +
  ADR-110 host-unit-test step
- Host unit tests for pure functions (mac48_to_eui64,
  eui64_bytes_to_u64, PPDU encoding both branches) — runs on Ubuntu CI
- Multi-board live-capture harness (test/capture-3board-experiment.py)
- Witness bundle script records SHA-256s for s3-adr110, c6-adr110, and
  s3-fair-adr110 (apples-to-apples) binary archives

Honest empirical findings (full report in docs/WITNESS-LOG-110.md):
- Verified live on 3 C6 boards: boot, 802.15.4 init w/ correct EUIs,
  WiFi STA reaching assoc->run on ruv.net, TWT setup attempted +
  gracefully NACKed (AP is 11n-only, TWT Responder:0), HE-MAC firmware
  loaded
- NOT verified (need 11ax AP / second-channel exp / INA meter):
  HE-LTF subcarrier expansion, TWT cadence determinism, ±100 µs sync
  alignment, 5 µA hibernation
- Bug found: leader election doesn't step down under live WiFi load —
  likely 2.4 GHz radio coex preemption (WiFi ch 5 vs 15.4 ch 15);
  follow-up task #30
- Apples-to-apples size: S3-no-display = 886 KB, C6 = 1003 KB
  (C6 is 13% LARGER for equivalent CSI features; the extra is the
  802.15.4 + OpenThread stack that S3 lacks)

Tracking: ruvnet/RuView#762

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-22 20:10:30 -04:00
..

Architecture Decision Records

This folder contains 44 Architecture Decision Records (ADRs) that document every significant technical choice in the RuView / WiFi-DensePose project.

Why ADRs?

Building a system that turns WiFi signals into human pose estimation involves hundreds of non-obvious decisions: which signal processing algorithms to use, how to bridge ESP32 firmware to a Rust pipeline, whether to run inference on-device or on a server, how to handle multi-person separation with limited subcarriers.

ADRs capture the context, options considered, decision made, and consequences for each of these choices. They serve three purposes:

  1. Institutional memory — Six months from now, anyone (human or AI) can read why we chose IIR bandpass filters over FIR for vital sign extraction, not just see the code.

  2. AI-assisted development — When an AI agent works on this codebase, ADRs give it the constraints and rationale it needs to make changes that align with the existing architecture. Without them, AI-generated code tends to drift — reinventing patterns that already exist, contradicting earlier decisions, or optimizing for the wrong tradeoffs.

  3. Review checkpoints — Each ADR is a reviewable artifact. When a proposed change touches the architecture, the ADR forces the author to articulate tradeoffs before writing code, not after.

ADRs and Domain-Driven Design

The project uses Domain-Driven Design (DDD) to organize code into bounded contexts — each with its own language, types, and responsibilities. ADRs and DDD work together:

  • ADRs define boundaries: ADR-029 (RuvSense) established multistatic sensing as a separate bounded context from single-node CSI. ADR-042 (CHCI) defined a new aggregate root for coherent channel imaging.
  • DDD models define the language: The RuvSense domain model defines terms like "coherence gate", "dwell time", and "TDM slot" that ADRs reference precisely.
  • Together they prevent drift: An AI agent reading ADR-039 knows that edge processing tiers are configured via NVS keys, not compile-time flags — because the ADR says so. The DDD model tells it which aggregate owns that configuration.

How ADRs are structured

Each ADR follows a consistent format:

  • Context — What problem or gap prompted this decision
  • Decision — What we chose to do and how
  • Consequences — What improved, what got harder, and what risks remain
  • References — Related ADRs, papers, and code paths

Statuses: Proposed (under discussion), Accepted (approved and/or implemented), Superseded (replaced by a later ADR).


ADR Index

Hardware and firmware

ADR Title Status
ADR-012 ESP32 CSI Sensor Mesh for Distributed Sensing Accepted (partial)
ADR-018 ESP32 Development Implementation Path Proposed
ADR-028 ESP32 Capability Audit and Witness Record Accepted
ADR-029 RuvSense Multistatic Sensing Mode (TDM, channel hopping) Proposed
ADR-032 Multistatic Mesh Security Hardening Accepted
ADR-039 ESP32-S3 Edge Intelligence Pipeline (on-device vitals) Accepted (hardware-validated)
ADR-040 WASM Programmable Sensing (Tier 3) Accepted
ADR-041 WASM Module Collection (65 edge modules) Accepted (hardware-validated)
ADR-044 Provisioning Tool Enhancements Proposed

Signal processing and sensing

ADR Title Status
ADR-013 Feature-Level Sensing on Commodity Gear Accepted
ADR-014 SOTA Signal Processing Algorithms Accepted
ADR-021 Vital Sign Detection (breathing, heart rate) Partial
ADR-030 Persistent Field Model and Drift Detection Proposed
ADR-033 CRV Signal Line Sensing Integration Proposed
ADR-037 Multi-Person Pose Detection from Single ESP32 Proposed
ADR-042 Coherent Human Channel Imaging (beyond CSI) Proposed

Machine learning and training

ADR Title Status
ADR-005 SONA Self-Learning for Pose Estimation Partial
ADR-006 GNN-Enhanced CSI Pattern Recognition Partial
ADR-015 Public Dataset Strategy (MM-Fi, Wi-Pose) Accepted
ADR-016 RuVector Training Pipeline Integration Accepted
ADR-017 RuVector Signal + MAT Integration Proposed
ADR-020 Migrate AI Inference to Rust (ONNX Runtime) Accepted
ADR-023 Trained DensePose Model with RuVector Pipeline Proposed
ADR-024 Project AETHER: Contrastive CSI Embeddings Required
ADR-027 Project MERIDIAN: Cross-Environment Generalization Proposed

Platform and UI

ADR Title Status
ADR-019 Sensing-Only UI with Gaussian Splats Accepted
ADR-022 Windows WiFi Enhanced Fidelity (multi-BSSID) Partial
ADR-025 macOS CoreWLAN WiFi Sensing Proposed
ADR-031 RuView Sensing-First RF Mode Proposed
ADR-034 Expo React Native Mobile App Accepted
ADR-035 Live Sensing UI Accuracy and Data Transparency Accepted
ADR-036 Training Pipeline UI Integration Proposed
ADR-043 Sensing Server UI API Completion (14 endpoints) Accepted

Architecture and infrastructure

ADR Title Status
ADR-001 WiFi-Mat Disaster Detection Architecture Accepted
ADR-002 RuVector RVF Integration Strategy Superseded
ADR-003 RVF Cognitive Containers for CSI Proposed
ADR-004 HNSW Vector Search for Fingerprinting Partial
ADR-007 Post-Quantum Cryptography for Sensing Proposed
ADR-008 Distributed Consensus for Multi-AP Proposed
ADR-009 RVF WASM Runtime for Edge Deployment Proposed
ADR-010 Witness Chains for Audit Trail Integrity Proposed
ADR-011 Proof-of-Reality and Mock Elimination Proposed
ADR-026 Survivor Track Lifecycle (MAT crate) Accepted
ADR-038 Sublinear GOAP for Roadmap Optimization Proposed
ADR-095 rvCSI — Edge RF Sensing Runtime Platform Proposed
ADR-096 rvCSI — Crate Topology, the napi-c Shim, and the napi-rs Node Surface Proposed
ADR-097 Adopt rvCSI as RuView's primary CSI runtime (phased adoption) Proposed
ADR-098 Evaluate ruvnet/midstream for RuView's CSI / WebSocket / mesh pipeline Rejected
ADR-099 Adopt midstream as RuView's real-time introspection + low-latency tap Proposed

  • DDD Domain Models — Bounded context definitions, aggregate roots, and ubiquitous language
  • User Guide — Setup, API reference, and hardware instructions
  • Build Guide — Building from source