Optimal Transportation System Based on Adaptive Federated Learning Techniques for Healthcare IoV (HIoV)
Pallati Narsimhulu, Rashmi Sahay, Premkumar Chithaluru · 2024
The advent of the Healthcare Internet of Vehicles (HIoV) has revolutionized transportation systems, ushering in a new era of smart mobility. However, to fully harness the potential of HIoV, efficient and adaptive control techniques are imperative. This book chapter delves into the optimization of transportation systems through the integration of Adaptive Federated Learning (FL) techniques. The primary challenge addressed is the need for real-time, adaptive control mechanisms in HIoV environments. This chapter aims to explore and develop an innovative approach to optimize transportation systems. By employing Adaptive FL techniques, the objective is to create adaptable and intelligent control systems for HIoVs. What sets this chapter apart is its pioneering use of Adaptive FL methods to optimize transportation systems for HIoVs. The novelty lies in the development of adaptable, intelligent transportation control systems that enhance safety, efficiency, and user experience. The chapter provides insights into the potential of Adaptive FL techniques in HIoV transportation systems. It offers an analysis of the impact on system adaptability, real-time decision-making, and the overall efficiency of HIoVs in dynamic environments.