The Role of Artificial Intelligence in Advancing Fracture Mechanics: Modeling, Prediction, and Data Analysis
With the Internet of Things (loT) and the Industrial Internet of Things (1IoT) as key paradigms, industries and societies have been advanced by allowing systems to interconnect and making intelligent decisions. This paper examines the progress of the loT and IloT by specifically define the taxonomy, communication protocols and system integration for the two technologies. Whenever loT solutions are deployed, taxonomies provide the categorization of diverse constituents, functional relationships, and compositional hierarchies within these arrangements. MQTT, DDS, and OPC UA are discussed as important protocols and their functions, differences, and performance characteristics are compared and analyzed. The paper also aims to look at the integration framework of the IloT as this has the key function of ensure the compatibility between industrial operations and smart technologies. The concepts garnered through loT and IloT are explained by applying them in fields such as Smart Cities, Healthcare, Manufacturing and logistics etc. Nevertheless, some issues still present major questions such as scalability, interoperability and security. That is why this work underscores that there is a need to develop and improve protocols, which are necessary to overcome these challenges. As a synthesis of the current knowledge regarding loT and IloT, this work offers a valuable guide to researchers and practitioners trying to meet the great challenges of building reliable and efficient solutions to next generation interconnected systems.
Authors
- Nitin Kumar Gupta (ORCID: https://orcid.org/0000-0002-0140-8206)
- Ojas Raturi
- Nalin Somani (ORCID: https://orcid.org/0000-0002-3239-2534)
- Vivek Srivastava (ORCID: https://orcid.org/0000-0002-9301-6524)
- Mohit Bhandwal (ORCID: https://orcid.org/0000-0002-6857-2270)
- Naina Chaudhary
Institutions
- Shree Guru Gobind Singh Tricentenary University (IN)
- Dehradun Institute of Technology University (IN)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/ictacs62700.2024.10840711
- Primary Topic
- Drilling and Well Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00