As Internet of Things (IoT) revolutionized over the years, it has become a crucial part in many application such as smart city and smart transportation, ensuring smooth functioning of the human life in a more reliable manner. As the amount of data that is to be collected, stored and analyzed increases, there is need for a system that perform these tasks in a more efficient manner. Artificial intelligence plays a crucial part in delivering these requirements. But when AI is involved, it will also result in the use of big tools that are necessary for tackling the issue at hand. Hence in order to ensure that AI can function in a smooth manner, blockchain support is introduced such that it develops a decentralized architecture. Block chain will provide a safe and secure environment to share the information and resources and can also address the drawbacks of Artificial intelligence. The purpose of this proposed work is to develop a hybrid architecture, combining the advantages of blockchain and artificial intelligence to enable big data analysis. We have performed an analysis and results have been observed to conclude the impact of blockchain in Artificial Intelligence in the aspect of latency and accuracy. The results indicate that the proposed architecture excels over the other architectures and can also overcome some of the challenges prevalent.
A Hybrid Architecture combining Artificial intelligence and Blockchain for IoT Applications
