Joint Age of Information and Self Risk Assessment for Safer 802.11p based V2V Networks
Biplav Choudhury, Vijay K. Shah, Avik Dayal, and Jeffrey H. Reed

TL;DR
This paper introduces TAoI, a new metric combining Age of Information and self risk assessment for V2V networks, improving safety by reducing collision risk compared to traditional AoI-based protocols.
Contribution
It proposes a novel Trackability-aware AoI metric that incorporates self risk, enhancing broadcast rate control for safer V2V communications.
Findings
TAoI-based protocol outperforms AoI-only protocols in safety metrics.
TAoI reduces collision risk in realistic V2V scenarios.
Experimental results validate the effectiveness of the proposed metric.
Abstract
Emerging 802.11p vehicle-to-vehicle (V2V) networks rely on periodic Basic Safety Messages (BSMs) to disseminate time-sensitive safety-critical information, such as vehicle position, speed, and heading -- that enables several safety applications and has the potential to improve on-road safety. Due to mobility, lack of global-knowledge and limited communication resources, designing an optimal BSM broadcast rate-control protocol is challenging. Recently, minimizing Age of Information (AoI) has gained momentum in designing BSM broadcast rate-control protocols. In this paper, we show that minimizing AoI solely does not always improve the safety of V2V networks. Specifically, we propose a novel metric, termed Trackability-aware Age of Information TAoI, that in addition to AoI, takes into account the self risk assessment of vehicles, quantified in terms of self tracking error (self-TE) --…
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