Blockchain-based secure communication model for IoT solar tracking networks

Abstract

Solar tracking systems using IoTs are being implemented in efforts to enhance solar photovoltaic efficiency, but are susceptible to unsecure communications, data modification and low flexibility to changing environmental scenarios. Current solutions usually focus on either control optimization or communication security but not both resulting in sub optimal system reliability. This research paper aims to propose a unified blockchain-based network-adaptive architecture to offer secure communication and enhance real-time operation of a solar tracking in distributed IoT systems. It provides a new Adaptive Blockchain-Assisted Secure Tracking (L-ABAST) model that includes blockchain based validation, trust-based decision making, and learning-based control. This system was tested using large and standard datasets and was offered on various environment and network conditions. The analysis of the performance was conducted based on the statistical values including the mean and standard deviation, the confidence interval, and the significance test. The proposed model demonstrated a reduction in tracking error of 5.8° to 1.9° and energy output was 39.0 % higher than that of conventional systems. The accuracy detected 94.7% and the false positive was 0.05. Latency was restricted to 108 ms and this indicates effective trade-off between security and efficiency. The proposed system provides a flexible, reliable, and safe framework to intelligent solar tracking, which can be successfully used in future IoT-enabled photovoltaic systems.