Abstract
In the rapidly evolving landscape of the Internet of Things (IoT), effective communication and security are paramount. Blockchain technology offers a transformative solution by providing a decentralized, transparent, and immutable ledger for managing and securing IoT interactions. By leveraging blockchain, IoT systems can enhance data integrity, improve trustworthiness, and streamline communication processes. This paper investigates the integration of blockchain technology within the SYMHIOT framework, focusing on the performance evaluation of various scenarios using a Hidden Markov Model (HMM) to manage IoT networks. The study analyzes key metrics such as transaction success rate, blockchain latency, energy consumption, packet delivery ratio (PDR), and throughput across multiple scenarios and time intervals. The results demonstrate that State 1 consistently yields optimal performance, with an average transaction success rate of 94.0%, blockchain latency as low as 115 ms, and energy consumption of 0.42 J. In contrast, State 3 exhibited the most challenging conditions, with a transaction success rate dropping to 85.3%, latency increasing to 140 ms, and energy consumption rising to 0.52 J. The highest packet delivery ratio of 99.0% and throughput of 260 kbps were also observed in State 1. Scenario 4, representing an optimized system configuration, achieved the best overall performance with minimal network delay (9.7 ms) and the lowest blockchain overhead (12.9%). These findings underscore the potential of leveraging blockchain in IoT environments, offering enhanced security, reduced latency, and improved resource efficiency, making it a robust solution for dynamic and resourceconstrained IoT networks.
Published Version
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