IoT convergence with machine learning & blockchain: A review

Introduces the merging of the Internet of Things with cutting -edge technology, including blockchain concepts, machine learning algorithms, and AI -based wireless connectivity. Smart industries, intelligent transportation systems, and smart health are all made possible by this convergence system, which uses machine learning skills, blockchain-enabled secure transactions, and smart contracts. For instance, this convergence system, which relies on machine learning skills and secure transactions and smart contracts that benefit from blockchain techniques, plays a crucial role in developing smart industries, intelligent transit systems, and smart health. This paper provides a comprehensive overview of the convergence of IoT with blockchain and machine learning algorithms, as well as the convergence categories, IoT ecosystem, application fields, issues in structure design, and protocols. This study aims to address the technical challenges of IoT, including architecture, hardware, privacy and security, scalability, interoperability, and heterogeneity issues. The presented paper is novel regarding IoT convergence and its categorization with machine learning and blockchain.