Improving Event Monitoring in IoT Network Using an Integrated Blockchain-Distributed Pattern Recognition Scheme

The application of blockchain technology for data storage and verification has been expanding from financial applications to other fields such as asset management and event monitoring in Internet-of-Things (IoT). This expansion consequently intensifies the problem of an increasing size of data stored in the blockchain, especially in event monitoring application where streams of data need to be stored and verified accordingly. In this paper, we propose an IoT-blockchain event monitoring framework that utilizes a distributed pattern recognition scheme for event data processing. Event data are treated as patterns comprising individual data retrieved from interconnected IoT sensors within a network composition. Preliminary results obtained indicate that the proposed scheme is capable of reducing the number of data blocks generated in the blockchain network, hence minimizing the needs for intensive storage and verification.