In the rapidly evolving landscape of industrial IoT, a groundbreaking study led by Agus Prayudi from Politeknik Elektronika Negeri Surabaya in Indonesia is paving the way for more robust and efficient systems. Published in the International Journal on Informatics Visualization (JOIV), the research delves into the implementation of multi-extension technologies in blockchain-based IoT platforms, offering significant implications for the energy sector and beyond.
The study focuses on integrating various cutting-edge technologies, including Blockchain IoT (B-IoT), Artificial Intelligence of Things (AIoT), Digital Twin, and the Matter protocol, into IoT platforms. These extensions aim to enhance the performance, security, and functionality of industrial IoT devices, which are increasingly vital in sectors like energy, manufacturing, and logistics.
One of the key findings of the research is the successful testing of the blockchain extension system across different bandwidths and scenarios. “Our testing has been successful,” Prayudi notes, highlighting the improvements in blockchain API execution time, speed, retention performance, and smart contract vulnerability testing. The study recommends using Kafka to address pending transaction issues caused by unprocessed messages, a common challenge in blockchain systems.
The integration of AIoT into the IoT platform has also shown promising results. Prayudi explains, “The Artificial Intelligence of Things extension, tested on real environments for person and vehicle counters, has shown successful results.” This integration can lead to more intelligent and autonomous systems, capable of making real-time decisions and optimizing operations.
The Digital Twin extension, which allows for the performance and control of 3D assets, has demonstrated efficient performance. This technology can be particularly beneficial in the energy sector, enabling better monitoring and management of energy assets, such as power plants and distribution networks.
The Matter protocol, a new communication protocol, achieved an average task execution speed of 0.48 tasks per second. The successful testing of Matter P2P communication through the implementation of the Access Control List (ACL) command further underscores the potential of this protocol in enhancing the security and efficiency of IoT systems.
The research conducted by Prayudi and his team offers a glimpse into the future of industrial IoT. As the number of IoT devices continues to grow, the integration of these multi-extension technologies can lead to more resilient, intelligent, and efficient systems. For the energy sector, this means improved asset management, enhanced security, and optimized operations, ultimately leading to a more sustainable and reliable energy infrastructure.
As we stand on the brink of a new era in IoT, the work of Prayudi and his colleagues serves as a beacon, guiding us towards a future where technology and innovation converge to create smarter, safer, and more efficient industrial systems. The research, published in the International Journal on Informatics Visualization (JOIV), is a testament to the power of collaboration and innovation in driving progress in the field of IoT.