Applying Blockchain Technology to Memory Management and Data Analysis Using Artificial Intelligence and the Internet of Things

Abstract

Blockchain is becoming one of the fundamental technologies for the IoT, as it is a distributed ledger technology (DLT), and the environment provides secure and trustworthy mechanisms for distributed data management. In this paper, we propose an intelligent framework integrating blockchain technology, IoMT, and AI to monitor resource utilization, analyze the system's behavior, and optimize the utilization of the resources-an investigational setup. We simulated an IoT environment in which devices generate memory usage data sent on the network, thanks to the MQTT protocol, and then saved securely in a blockchain. Following this, automatic pattern analysis is adopted to identify the market demand and distribute the resources to the individual blocks in a way that will make each perform to the maximum. The structure we designed is such that the proposed system could expand and be compatible with many other IoT deployments, bringing about a new, innovative way of handling distributed data where confidentiality and security are most important. An experimental evaluation we conducted using simulations under controlled situations shows that the system can lower the latency and ensure a higher overall system reliability while at the same time preventing tampering and supporting the verification of data. The study's findings illustrate that Blockchain-based IoT systems are one of the technologies that can revolutionize several urban living areas, including but not limited to smart cities, industrial automation, and healthcare monitoring. Further works will focus on expanding this approach to its application in the real world, where problems like network scalability, consensus mechanism overhead, and the energy efficiency of the IoT devices are to be considered.