Intelligent Task Offloading in Fog Computing Based Vehicular Networks

Intelligent Task Offloading in Fog Computing Based Vehicular Networks

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Connected vehicles in vehicular networks will lead to a smart and autonomous transportation system.These vehicles have a large number of applications that require wireless connectivity by using cellular vehicle-to-everything (C-V2X).The infrastructure of C-V2X comprises multiple roadside units (RSUs) that provide direct connectivity with the on-road vehicles.

Vehicular traffic applications are mainly categorized into three major groups such as Womens soccer-shorts emergency response traffic, traffic management and infotainment traffic.Vehicles have limited processing capabilities and are unable to process all tasks simultaneously.To process these offloaded tasks in a short time, fog servers are placed near the RSUs.

However, it is sometimes not possible for the fog computing server to process all offloaded tasks.In this work, a utility function for the RSU to process these offloaded tasks is designed.In addition, a knapsack-based task scheduling algorithm is proposed to optimally process the offloaded tasks.

The results show that the proposed scheme helps fog nodes to optimally scrutinize the high-priority offloaded tasks Ear for task execution resulting in more than 98% of emergency tasks beingprocessed by fog computing nodes.