Self-triggering in Vehicular Networked Systems with State-dependent Bursty Fading Channels

TL;DR

This paper introduces a self-triggered communication scheme for vehicular networks that adaptively manages transmission frequency based on state-dependent fading channels, enhancing efficiency and stability.

Contribution

It proposes a novel self-triggered scheme using a state-dependent fading channel model, enabling adaptive transmission control in vehicular networks.

Findings

The scheme ensures efficient bandwidth usage while maintaining stochastic stability.

Simulation and experiments demonstrate improved performance over existing strategies.

Abstract

Vehicular Networked Systems (VNS) are mobile ad hoc networks where vehicles exchange information over wireless communication networks to ensure safe and efficient operation. It is, however, challenging to ensure system safety and efficiency as the wireless channels in VNS are often subject to state-dependent deep fades where the data rate suffers a severe drop and changes as a function of vehicle states. Such couplings between vehicle states and channel states in VNS thereby invalidate the use of separation principle to design event-based control strategies. By adopting a state-dependent fading channel model that was proposed to capture the interaction between vehicle and channel states, this paper presents a novel self-triggered scheme under which the VNS ensures efficient use of communication bandwidth while preserving stochastic stability. The novelty of the proposed scheme lies in its use of the state-dependent fading channel model in the event design that enables an adaptive and effective adjustment on transmission frequency in response to dynamic variations on channel and vehicle states. Under the proposed self-triggered scheme, this paper presents a novel source coding scheme that tracks vehicle's states with performance guarantee in the presence of state-dependent fading channels. The efficacy and advantages of the proposed scheme over other event-based strategies are verified through both simulation and experimental results of a leader-follower example.