Performance Evaluation of Hashgraph Algorithm in IoT: Execution Time and CPU Usage in DLT Systems.

Abstract

IOTA is a cryptocurrency that uses a novel system called the Tangle, designed to be fast, fee-free, and ideal for Internet of Things (IoT) devices. This paper evaluates CPU usage and execution time in distributed ledger environments, comparing traditional blockchains with modern DLT systems like Hashgraph and IOTA’s Tangle. The study shows that modern consensus methods can improve resource efficiency, reduce computational overhead, and maintain security, scalability, and fairness. Hashgraph achieves a balance between constant-time and logarithmic-time operations, enabling rapid and fair transactions without energy-intensive mining. Similarly, IOTA’s Tangle uses a Directed Acyclic Graph (DAG) to validate transactions in parallel, ensuring lightweight processing suitable for IoT devices. Together, these systems can process thousands of secure transactions per second while remaining energy-efficient and eco-friendly, making them highly suitable for industries such as finance, healthcare, and supply chain management, where speed, scalability, and fairness are critical