Abstract:
The oil and gas industry relies heavily on the seamless and secure operation of pipelines to transport valuable resources. In this context, the integration of Internet of Things (IoT) technologies offers the potential to enhance monitoring systems, providing real-time insights and data-driven decision-making. This study presents a novel framework for IoT-based oil and gas pipeline monitoring, designed to bolster security, data accuracy, and operational efficiency. The framework encompasses strategic sensor placement, a rotational cluster head selection scheme, efficient data aggregation, and robust data encryption using the ASCON-128 Cipher. By strategically positioning IoT sensors and employing advanced data aggregation techniques, redundant data transmission is minimized, significantly improving the accuracy and efficiency of data collection. Additionally, the rotational cluster head selection scheme optimizes power consumption, extending the operational lifespan of IoT devices. While this framework is currently in the conceptual phase, it holds great promise for addressing industry-specific challenges. Future work should focus on practical implementations, security protocol development, performance evaluations, scalability assessments, user authentication enhancements, and system integration.
