Blockchain-Enabled AI Frameworks for Predictive Analytics in IoT-Driven Environmental Monitoring Systems

Abstract

Monitoring of the environment systems that have emerged on the basis of the Internet of Things (IoT) give in real time some of the environmental parameters like the temperature, humidity, air and pollution quality. Nevertheless, there are certain issues associated with the presence of the systems due to massive real-time data streaming through the devices of the IoT and they are data integrity, security, and scaling. Blockchain has a read-only access to a distributed ledger; a ledger whose data management under a distributed ledger is both secure, transparent and cannot be mutilated. Completely to the opposite, with the help of the Artificial Intelligence ( AI ), it is possible to make the anomalies and decisions out of the data with the help of the predictions and anomalies. The article gives a clue not only how to integrate Blockchain and AI into the system containing the track of IoT-driven solutions but also how to enhance the procedure monitoring IoT-driven solutions, including those of them encouraged to turn to predictive analytics. The model will also improve the level of precision, safety and efficiency of an environment observation by using a rather advanced technology-Blockchain that helps to store and transport safe data; Artificial intelligence (AI) to predict, generate appearance and optimize it. All these challenges that the alliance will have to encounter and all the applications in the future related to an association such as this and the benefits related to the alliance have all been given out in the paper. It is possible to use an idea of conceptual framework and use of case study simulation that is employed in the current paper in utilisation of blockchain-based artificial intelligence in the two ways; creating some add on case studies as model in prediction of the environmental risk, a model to simulate the use of case study.