Evolution of Low - Power Blockchain Technology by using Iterative Sharding for IoT Environment

This Blockchains are considered as high security linked-list based models that can be used to incorporate immutability, distributed processing, high transparency, and high trustworthiness for scalable deployments. But as the chain length increases, these blockchains require larger mining delays and higher energy consumption which limits their applicability for low-power use cases. Existing low-power blockchains require complex miner-level evaluations, which increases their computational complexity levels. To overcome these issues, this text proposes design of a novel low-power blockchain via iterative sharding for IoT (Internet of Things) deployments. The proposed model initially collects temporal information about the current IoT scenario and uses an Elephant Herding optimization (EHO) based model to form low-energy & low-delay sidechains. The length of these chains is iteratively modified, which assists in reducing computational complexity even under large scale networks. The EHO Model formulates a mining-delay & mining-energy based fitness function, that allows the model to select optimal chain lengths for context-specific use cases. Due to these enhancements, the proposed model is able to reduce the computational delay by 8.3%, and mining energy by 4.5% when compared with standard blockchain & sidechain models under different realtime use cases. This also allows the model to improve communication throughput and reduce the number of delay jitters for large-scale communication scenarios.