TRACC: On-chain Emission via DePIN

TRACC Performance Evaluation Dataset This dataset contains performance evaluation data for TRACC (Transparent Real-time Accountability for Carbon Compliance), a Web 3.0 IoT-blockchain platform that links decentralized methane sensor reporting to on-chain liability assignment through device-bound wallets and non-tradable Carbon Burden Tokens (CBTs). It accompanies the paper "Automated Accountability Platforms for Carbon Governance: A Web 3.0 IoT-Blockchain Design and Evaluation." Data was collected over 30 days in November 2024 on the Polygon Amoy testnet, combining a physical IoT testbed (four Raspberry Pi 4 nodes with MQ-4 methane sensors and ADS1115 ADCs) and large-scale simulation (up to 1,500 concurrent sensors across 100 companies). The evaluation captures five dimensions: end-to-end accountability latency, throughput scalability, per-event cost, decentralized identity (DID) authentication reliability, and adversarial robustness. Contents (single .xlsx workbook, 9 sheets): 1. Summary - headline metrics: 1,500 sensors, 125,540 events, 25,372 violations (20.2%), 32,675 CBTs minted, 6.25 s mean latency, 94.25% mean DID authentication success, $0.00357 mean per-event cost, 146 adversarial scenarios all blocked. 2. Emission Events - 2,891-row representative sample with full per-event telemetry: timestamp, sensor and company IDs, methane reading (ppm), exceedance flag, severity tier (0-3), CBTs minted, six per-stage latency components (sensor detection, signing, contract submission, blockchain confirmation, webhook, dashboard), gas usage, gas price, POL price, USD cost, authentication outcome. 3. Daily Metrics - 30 rows: daily event totals, violation counts and rates, CBT mints, authentication success/failures, mean latency, mean cost per violation, and component uptime. 4. Scalability Tests - 45 rows: 15 sensor-count configurations (100 to 1,500), three trials each, with mean/min/max/std latency, success rate, failures, and CBT throughput. 5. Latency Breakdown - per-component latency statistics (mean, std, min, max, 50th/95th/99th percentiles) for the six pipeline stages. 6. Security Incidents - all 146 scripted adversarial scenarios across ten attack classes (Invalid DID, Replay, DDoS, Unauthorized Access, Sensor Tampering, Man-in-Middle, Signature Forgery, Sybil, Smart Contract Exploit, Network Intrusion), with timestamp, severity, detection time, blocked-flag, and response action. 7. Resource Utilization - CPU, memory, network bandwidth, and storage usage at 13 sensor-count configurations. 8. Comparative Analysis - TRACC against manual auditing, CEMS, generic blockchain carbon systems, and a published MRV+O system, normalised to per-event metrics. 9. Cost Analysis - 24 hourly observations of Polygon gas price, confirmation time, and per-CBT cost. Related resources: - Source code: https://github.com/CryptoGuy1/TRACC-On-Chain-Emission-Tracking-via-DePIN - Live dashboard: https://trac-alpha.vercel.app/