Fog computing is a promising option for time sensitive vehicular over-the-air (OTA) updates, as it can offer enhanced network durability and lower communication delays, as compared to the cloud. Fog node utilization for ...

Current IoT applications generate huge volumes of complex data that requires agile analysis in order to obtain deep insights, often by applying Machine Learning (ML) techniques. Support vector machine (SVM) is one such ML ...

Despite reduced network latency and resilience, fog computing has not been leveraged for vehicular Over-theAir (OTA) updates. Due to vehicle mobility and traffic, the resource utilization of fog nodes is almost ...