A Swarming Approach to Optimize the One-hop Delay in Smart Driving Inter-platoon Communications

TL;DR

This paper introduces a swarming optimization method to minimize one-hop delay in inter-platoon communications by adjusting contention windows, improving communication efficiency in smart driving scenarios.

Contribution

It presents a novel two-step swarming approach to optimize contention window sizes for reduced delay in inter-platoon vehicle communications.

Findings

One-hop delay is effectively minimized using the proposed method.

Optimized contention windows improve end-to-end delay and throughput.

Simulation confirms performance improvements with the approach.

Abstract

In this paper, we propose a swarming approach and optimize the one-hop delay for interplatoon communications through adjusting the minimum contention window size of each backbone vehicle in two steps. In the first step, we first set a small enough average one-hop delay as the initial optimization goal and then propose a swarming approach to find a minimum average one-hop delay for inter-platoon communications through adjusting the minimum contention window of each backbone vehicle iteratively. In the second step, we first set the minimum average one-hop delay found in the first step as the initial optimization goal and then adopt the swarming approach again to get the one-hop delay of each backbone vehicle balance to the minimum average one-hop delay. The optimal minimum contention window sizes that get the one-hop delay of each backbone vehicle balance to the minimum average one-hop delay are obtained after the second step. The simulation results indicate that the one-hop delay is optimized and the other performance metrics including end-to-end delay, one-hop throughput and transmission probability are presented by using the optimal minimum contention window sizes.