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• W4372313963 abstract "Recently, the Wireless Sensor Network (WSN) plays a prominent role in many applications for efficiently monitoring the performance of the system. As the conventional power grid faces multiple issues in the process of power transmission, a smart grid based Internet of Things (IoT), which uses integrated electrical and communication infrastructure is employed in this study. The micro grid using Renewable Energy (RE) resources like wind and solar power is preferred in this work. The major objective of this study is to have perfect monitoring and control of the overall power grid using WSN. By connecting a smart micro grid with IoT, the issue of voltage violation and grid instability caused by power insufficiency is resolved. The IoT-based network integrates grid with the distributed source through WSN, which senses the data and forwards the gathered data to the cloud while taking a backup for future monitoring. Before forwarding, the data is highly encrypted using a hybrid approach known as Advanced Encryption Standard (AES) and Rivest Cipher 4 (RC4).The hybrid encryption generates improved ratio of transaction success with respect to malicious ratio indicating the secured data transmission preventing the intrusion of hackers. Simultaneously, the secured data is transmitted at high speed by making use of Pulse Coupled Neural Network (PCNN) along with Remora Optimization algorithm. The inclusion of optimization for the effective selection of the hyperparameters of neural network ensures the generation of global optimal solution which in turn enables the efficient identification of shortest path. The hardware in this system uses Arduino controller and the proposed approach aids in efficient monitoring of smart grid parameters facilitating uninterrupted power availability." @default.
• W4372313963 created "2023-05-07" @default.
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• W4372313963 date "2023-06-01" @default.
• W4372313963 modified "2023-09-27" @default.
• W4372313963 title "IoT based secured data monitoring system for renewable energy fed micro grid system" @default.
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• W4372313963 doi "https://doi.org/10.1016/j.seta.2023.103244" @default.
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