On minimizing the system information age in vehicular ad-hoc networks via efficient scheduling and piggybacking

Abstract

Recent advances in vehicular networks have enforced researchers to focus on various information dissemination techniques. Exchanging information among the vehicles is imperative due to the ever-changing network topology in vehicular networks. However, random transmitter selection in traditional CSMA based channel access mechanism limits the delay performance. Data, such as state information, is often time critical, and hence, efficient information dissemination techniques to improve delay performance are essential. In this work, we aim to minimize the average system age which is the mean number of time slots old a vehicle's information is at all other vehicles in the network. To achieve this, we explore the benefits of simultaneous transmission along with piggybacking of information for multi-hop communication. While allowing simultaneous transmission guarantees faster dissemination of information, piggybacking facilitates dissemination of more information per transmission, thereby keeping the network more updated. We have also analysed the relationship between piggybacked information and number of vehicles in the network. Simulation results show improvement in network performance. Our analytical results are in good agreement with the simulation results.

Towards the Tradeoff Between Service Performance and Information Freshness

“…In [17], the authors propose the Pull model for investigating the expected AoI at the user's side and discover a new tradeoff between different levels of information freshness and different response times across the servers. Besides the above work that focuses on the analysis and optimization of the AoI, several other work also considers applications where the AoI is highly relevant (see, e.g., [18], [19]).…”

Minimizing Age of Information on NOMA Communication Schemes for Vehicular Communication Applications

“…For instance, intelligent transportation systems demand to have fresh information avoiding collisions and congestion on the road [4], [5]. Additionally, a variety of solutions are reported to balance freshness and service latency in vehicular networks [6], power minimization [7] or the average system age [8] on vehicular networks.…”