Improved Delay and PDR For Iov-Fog Nets Using Fractional Mayfly Optimization Algorithm

Abstract

The integration of the automobile industry with communication technology has led to the concept of the Internet of Vehicles (IoV). It is a self-organized network that consists of vehicles and RSUs and employs Infrastructure-to-Vehicle (I2V) and Vehicle-to-Vehicle (V2V) data transmission mechanisms. The IoV system uses an efficient service message transmission protocol, the Fractional Mayfly algorithm (FMA), for reliable broadcasting of service information. Experimental results indicate that the FMA-based scheduling method is superior in terms of delay and PDR, particularly for 100 and 150 vehicles. The Fog Computing approach is also used for communication and data processing in the IoV system.