Innovative Message Routing for Next Generation Transportation System Using GA-Based SVM

In the past decade, the public's access to electric vehicles (EVs) and unmanned aerial vehicles (UAVs) has been made possible by ongoing technological breakthroughs in the recent past. However, intelligent models of transportation are still needed and for that purpose, there is a need to create suitable and improved protocols that empower these powered-by-battery devices to communicate predictably and quickly. In this research, the difficulties in signal routing within an integrated framework of electric and flying vehicles are a prime focus. A multifaceted message routing system for such vehicles is discussed in this paper that is based on a modified genetic algorithm (GA) with Support Vector Machine (SVM). The study presents an improved and intelligent approach that presents an optimal and potential solution. In addition, vehicles' dependability, data transfer speed, and remaining power are also considered substantial communication benefits. The proposed method surpasses the existing methods and provides more packet delivery at 90%, the shortest average hop distance, and a longer connectivity time. To validate performance of the work, its accuracy was compared with the four existing works.