Files
ruvnet--RuView/docs/adr
rUv 5a7f431b0e ADR-081: Implement 5-layer adaptive CSI mesh firmware kernel (#404)
* ADR-081: adaptive CSI mesh firmware kernel + scaffolding

Introduces a 5-layer firmware kernel that reframes the existing ESP32
modules as components of a chipset-agnostic architecture and authorizes
adaptive control + a compact feature-state stream as the default upstream.

Layers:
  L1 Radio Abstraction Layer  — rv_radio_ops_t vtable + ESP32 binding
  L2 Adaptive Controller      — fast/medium/slow loops (200ms/1s/30s)
  L3 Mesh Sensing Plane       — anchor/observer/relay/coordinator (spec)
  L4 On-device Feature Extr.  — rv_feature_state_t (magic 0xC5110006)
  L5 Rust handoff             — feature_state default; debug raw gated

Files:
  docs/adr/ADR-081-adaptive-csi-mesh-firmware-kernel.md  (new)
  firmware/esp32-csi-node/main/rv_radio_ops.h            (new)
  firmware/esp32-csi-node/main/rv_radio_ops_esp32.c      (new)
  firmware/esp32-csi-node/main/rv_feature_state.{h,c}    (new)
  firmware/esp32-csi-node/main/adaptive_controller.{h,c} (new)
  firmware/esp32-csi-node/main/main.c                    (wire L1+L2)
  firmware/esp32-csi-node/main/CMakeLists.txt            (add 4 sources)
  firmware/esp32-csi-node/main/Kconfig.projbuild         (controller knobs)
  CHANGELOG.md                                           (Unreleased)

Default policy is conservative: enable_channel_switch and
enable_role_change are off, so behavior matches today's firmware
unless an operator opts in via menuconfig. The pure
adaptive_controller_decide() is exposed for offline unit tests.

Reuses (does not rewrite): csi_collector, edge_processing (ADR-039),
swarm_bridge (ADR-066), secure_tdm (ADR-032), wasm_runtime (ADR-040).

* ADR-081: implement Layers 1/2/4 end-to-end + host tests + QEMU hooks

Turns the ADR-081 scaffolding into a working adaptive CSI mesh kernel:
Layer 1 radio abstraction has an ESP32 binding and a mock binding; Layer 2
adaptive controller runs on FreeRTOS timers; Layer 4 feature-state packet
is emitted at 5 Hz by default, replacing raw ADR-018 CSI as the default
upstream.

New files:
  firmware/esp32-csi-node/main/adaptive_controller_decide.c  (pure policy)
  firmware/esp32-csi-node/main/rv_radio_ops_mock.c           (QEMU binding)
  firmware/esp32-csi-node/tests/host/Makefile                (host tests)
  firmware/esp32-csi-node/tests/host/test_adaptive_controller.c
  firmware/esp32-csi-node/tests/host/test_rv_feature_state.c
  firmware/esp32-csi-node/tests/host/esp_err.h               (shim)
  firmware/esp32-csi-node/tests/host/.gitignore

Modified:
  adaptive_controller.c         — includes pure decide.c; emit_feature_state()
                                  wired into fast loop (200 ms = 5 Hz)
  rv_radio_ops_esp32.c          — get_health() fills pkt_yield + send_fail
  csi_collector.{c,h}           — pkt_yield/send_fail accessors (ADR-081 L1)
  rv_feature_state.h            — packed size corrected to 60 bytes
                                  (was incorrectly 80 in initial commit)
  main.c                        — mock binding registered under mock CSI
  CMakeLists.txt                — rv_radio_ops_mock.c under CSI_MOCK_ENABLED
  scripts/validate_qemu_output.py — 3 new ADR-081 checks (17/18/19)
  docs/adr/ADR-081-*.md         — status → Accepted (partial);
                                  implementation-status matrix; measured
                                  benchmarks (decide 3.2 ns, CRC32 614 ns);
                                  bandwidth 300 B/s @ 5 Hz (99.7% vs raw);
                                  verification section
  CHANGELOG.md                  — artifact-level entries

Tests (host, gcc -O2 -std=c11):
  test_adaptive_controller:  18/18 pass, decide() = 3.2 ns/call
  test_rv_feature_state:     15/15 pass, CRC32(56 B) = 614 ns/pkt, 87 MB/s
                             sizeof(rv_feature_state_t) == 60 asserted
                             IEEE CRC32 known vectors verified

Deferred (tracked in ADR-081 roadmap Phase 3/4):
  Layer 3 mesh-plane message types, role-assignment FSM, Rust-side mirror
  trait in crates/wifi-densepose-hardware/src/radio_ops.rs.

* ADR-081: Layer 3 mesh plane + Rust mirror trait — all 5 layers landed

Fully implements the remaining deferred pieces of the adaptive CSI mesh
firmware kernel. All 5 layers (Radio Abstraction, Adaptive Controller,
Mesh Sensing Plane, On-device Feature Extraction, Rust handoff) are
now implemented and host-tested end-to-end.

Layer 3 — Mesh Sensing Plane (firmware/esp32-csi-node/main/rv_mesh.{h,c}):
  * 4 node roles: Unassigned / Anchor / Observer / FusionRelay / Coordinator
  * 7 message types: TIME_SYNC, ROLE_ASSIGN, CHANNEL_PLAN,
    CALIBRATION_START, FEATURE_DELTA, HEALTH, ANOMALY_ALERT
  * 3 auth classes: None / HMAC-SHA256-session / Ed25519-batch
  * Payload types: rv_node_status_t (28 B), rv_anomaly_alert_t (28 B),
    rv_time_sync_t (16 B), rv_role_assign_t (16 B),
    rv_channel_plan_t (24 B), rv_calibration_start_t (20 B)
  * 16-byte envelope + payload + IEEE CRC32 trailer
  * Pure rv_mesh_encode()/rv_mesh_decode() plus typed convenience encoders
  * rv_mesh_send_health() + rv_mesh_send_anomaly() helpers

Controller wiring (adaptive_controller.c):
  * Slow loop (30 s default) now emits HEALTH
  * apply_decision() emits ANOMALY_ALERT on transitions to ALERT /
    DEGRADED
  * Role + mesh epoch tracked in module state; epoch bumps on role
    change

Layer 5 — Rust mirror (crates/wifi-densepose-hardware/src/radio_ops.rs):
  * RadioOps trait mirrors rv_radio_ops_t vtable
  * MockRadio backend for offline tests
  * MeshHeader / NodeStatus / AnomalyAlert types mirror rv_mesh.h
  * Byte-identical IEEE CRC32 (poly 0xEDB88320) verified against
    firmware test vectors (0xCBF43926 for "123456789")
  * decode_mesh / decode_node_status / decode_anomaly_alert / encode_health
  * 8 unit tests, including mesh_constants_match_firmware which asserts
    MESH_MAGIC/VERSION/HEADER_SIZE/MAX_PAYLOAD match rv_mesh.h
    byte-for-byte
  * Exported from lib.rs
  * signal/ruvector/train/mat crates untouched — satisfies ADR-081
    portability acceptance test

Tests (all passing):
  test_adaptive_controller:   18/18   (C, decide() 3.2 ns/call)
  test_rv_feature_state:      15/15   (C, CRC32 87 MB/s)
  test_rv_mesh:               27/27   (C, roundtrip 1.0 µs)
  radio_ops::tests (Rust):     8/8
  --- total:                 68/68 assertions green ---

Docs:
  * ADR-081 status flipped to Accepted
  * Implementation-status matrix updated; L3 + Rust mirror both
    marked Implemented
  * Benchmarks table extended with rv_mesh encode+decode roundtrip
  * Verification section updated with cargo test invocation
  * CHANGELOG: two new entries for L3 mesh plane + Rust mirror

Remaining follow-ups (Phase 3.5 polish, not blocking):
  * Mesh RX path (UDP listener + dispatch) on the firmware
  * Ed25519 signing for CHANNEL_PLAN / CALIBRATION_START
  * Hardware validation on COM7

* Add test_rv_mesh to host-test .gitignore

Fixes an untracked-file warning from the repo stop-hook: the compiled
binary was built by make but the .gitignore update was missed in
8dfb031. No source changes.

* Fix implicit decl of emit_feature_state in adaptive_controller

fast_loop_cb calls emit_feature_state() at line 224, but the static
definition is at line 256. GCC treats the implicit declaration as
non-static, then the real static definition conflicts, and
-Werror=all promotes both to hard build errors.

Add a forward declaration above the first use. Unblocks ESP32-S3
firmware build and all QEMU matrix jobs.

Co-Authored-By: claude-flow <ruv@ruv.net>

---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-04-20 10:38:23 -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

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