Table 4 Real-World Applications and Implementation Scenarios of the Proposed Approach.
From: Resilient security architecture for smart buildings using DLT powered encryption
Use Case | Implementation | Research Directions | Potential Impact |
|---|---|---|---|
Sensor networks using IoT devices and blockchain for crop and soil data management | \(\bullet\) Resilient sensor systems for harsh environments \(\bullet\) Energy-efficient blockchain consensus \(\bullet\) Data fusion for crop monitoring | \(\bullet\) Enhanced crop yield prediction \(\bullet\) Improved resource management \(\bullet\) Better farming decisions | |
Medical supply tracking using IoT sensors and blockchain for compliance and authenticity | \(\bullet\) Secure medical data transmission \(\bullet\) Privacy-preserving blockchain protocols\(\bullet\) Real-time supply chain optimization | \(\bullet\) Enhanced drug traceability \(\bullet\) Improved patient safety \(\bullet\) Better regulatory compliance | |
Power grid monitoring using distributed sensors and blockchain for energy trading | \(\bullet\) Advanced grid stabilization algorithms \(\bullet\) Efficient energy trading protocols \(\bullet\) Fault prediction systems | \(\bullet\) Optimized energy distribution \(\bullet\) Reduced power outages \(\bullet\) Better renewable integration | |
Environmental sensor networks with blockchain for data integrity and tracking | \(\bullet\) Resilient monitoring systems \(\bullet\) Energy-efficient sensor networks \(\bullet\) Multi-parameter data fusion | \(\bullet\) Enhanced climate studies \(\bullet\) Improved pollution tracking \(\bullet\) Better ecosystem management | |
Vehicle tracking systems with blockchain for logistics and maintenance | \(\bullet\) Predictive maintenance algorithms \(\bullet\) Real-time route optimization \(\bullet\) Fuel efficiency modeling | \(\bullet\) Reduced operational costs \(\bullet\) Improved fleet efficiency \(\bullet\) Better maintenance scheduling |
