Improving Discovery Using Meta-Heuristic Echolocation

Abstract

This paper discusses a meta-heuristic echolocation mathematical model, as a possible method to discover adjacent vehicles and road-side units in a smart transportation setting with levels 3, 4, and 5 autonomous vehicles. The operation of IoAV based on monitoring several parameters as well as major obstacles for the proliferation of level 4 and 5 autonomous vehicles are also analyzed. In this paper, we make the first attempt to analyze autonomous vehicles from a microscopic level, focusing on each vehicle and their communications. Simulation results demonstrated that the proposed model incurs minimal computation and communication overheads.