A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics

The dependency on vehicles is increasing tremendously due to its excellent transport capacity, fast, efficient, flexible, pleasant journey, minimal physical effort, and substantial economic impact. As a result, the demand for smart intelligent feature enhancement growing becoming prime concern maximum productivity based current perspective. In this case, Internet of Everything (IoE) an emerging concept that can play essential role in automotive industry by integrating stakeholders, process, data, things via networked connections. But unavailability features leads negligence about proper maintenance vehicle vulnerable parts, reckless driving severe accident, lack instructive driving, improper decision, which incurred extra expenses besides hindering national growth. For this, we proposed conceptual framework central VHMS exploiting IoE-driven Multi-Layer Heterogeneous Networks (HetNet) machine learning technique oversee individual health conditions, notify respective owner-driver real-timely store information further necessary action. This article transparently portrayed overview taxonomy achieve such objective. Subsequently, unveiled VHMS, Multi-tire HetNet, with secure trustworthy data collection analytics system. Finally, anticipating proposition’s outcome immense sector. It may motivate researcher develop vehicular condition diagnostic system move sector towards Industry 4.0.