Q-learning based automated message multicast in gossip protocol for node confirmation in IOTA tangle

Abstract

The Internet of Things (IoT) is now causing a massive wave of digitization, creating vast amounts of data in the Internet of Everything era. Distributed ledger technologies like blockchains and IOTA are essential to IoT data services. The IOTA Foundation has completely redesigned distributed ledger technology to enable secure cash and data exchange, fee-free microtransactions, and scalable network growth for IoT device networks. It provides an approach and transaction confirmations to enable smart device microtransactions. The quicker the network uses the IOTA Tangle, the more transactions are verified. However, IOTA's maximum transaction rate of approximately seven transactions per second (TPS) limits its potential. In May 2020, the community network achieved 600 confirmed Transactions Per Second (CTPS), showcasing progress. Motivated by the need to enhance IoT scalability and efficiency, this research proposes a methodology to integrate Tangle into IoT blockchains, leveraging Tangle as the backbone for IoT devices. The approach addresses message flooding, reducing overhead while offering a distinct web interface cost-cutting strategy to minimize transaction time and storage for microtransactions. Experimental results demonstrate that the framework improves transaction throughput, substantially reducing processing time and resource usage. These findings underscore its efficacy in enabling efficient and scalable IoT microtransactions. The research concludes that the proposed integration of Tangle enhances IoT transaction efficiency and sets a foundation for future innovations in secure, lightweight IoT data exchange.