Data security tolerance and portable based energy-efficient framework in sensor networks for smart grid environments

Abstract

Wireless Sensor Networks (WSNs) are effective devices used for remote surveillance, device failure prediction, and housing energy control in numerous smart grid implementations. Several interaction structures and remedies, such as broadband networks, cable networks, Wireless Sensor networks, have been suggested to assist Smart Grid implementations. Owing to their cheap, dynamic nature, robustness, and low energy profile, WSNs are attractive devices, and preserving a low energy pattern is an essential factor in WSN. Implementing quality services and safety techniques in sensor networks is challenging in smart grid applications. Thus, in this article, Portable and Data Security Tolerancebased Energy-Efficient Framework(PDST-EEF) has been proposed for maintaining a high standard of data security by lowering the sensor device energy usage in smart grid surroundings. PDST model is developed to ensure data privacy in sensor networks by utilizing an authentication method integrated with the cryptographic signature model to detect the various attacks. PDST identifies and separates attacks like denial of service and replay efficiently. EEF presents a low-power cyber safety mechanism on sensor networks with smart grid tracking applications. EEF is modeled with different stages like identifying anti-nodes, group development, and allocating keys less energy. EEF can operate with higher power efficiency techniques while preserving sustained throughput and reliability ideals. The experimental result shows that the PDST-EEF's specific request and authentication period is often enhanced by just a second with less energy usage of 5.06%.