4. Edge Computing for Real-Time Processing

To reduce latency and optimize efficiency, Edma utilizes edge computing within its IoT-based energy tracking network. By processing data locally on smart meters and edge devices, Edma enhances real-time energy monitoring and reduces the load on blockchain storage.

Key Benefits of Edge Computing in Edma

1. Local Data Processing & Validation

• Smart meters perform initial data validation before transmitting records.

• Reduces reliance on centralized cloud processing, ensuring faster decision-making.

• Filters out erroneous or irrelevant data before blockchain submission.

2. Bandwidth Optimization & Efficiency

• Transmits only aggregated and validated energy data, reducing network congestion.

• Uses lightweight communication protocols (MQTT, CoAP) for efficient data transfer.

• Minimizes unnecessary blockchain transactions, lowering gas fees and storage costs.

3. Real-Time Response & Energy Monitoring

• Edge computing enables instantaneous anomaly detection in energy production.

• Provides real-time alerts to stakeholders if irregular energy data is detected.

• Enhances microgrid performance and load balancing by analyzing local energy flow in real time.

How Edge Computing Works in Edma

1. Smart meters process and validate energy data locally before transmission.

2. Edge devices aggregate and filter incoming data to ensure accuracy.

3. Only verified data is sent to blockchain nodes for secure storage.

4. Regulators and stakeholders access real-time analytics for ESG compliance and market insights.

By integrating edge computing with blockchain and IoT, Edma ensures low-latency, high-efficiency, and scalable real-time energy tracking and verification.