Edge-Aware Cloud-Native Service for Enhancing Back Situation Awareness in 5G-Based Vehicular Systems

被引:2
|
作者
Slamnik-Krijestorac, Nina [1 ]
Yousaf, F. Zarrar [2 ]
Yilma, Girma M. [3 ]
Halili, Rreze [1 ]
Liebsch, Marco
Marquez-Barja, Johann M. [1 ]
机构
[1] Univ Antwerp, Imec, Fac Appl Engn, IDLab, B-2000 Antwerp, Belgium
[2] NEC Labs Europe, 5G Networks Grp, D-69115 Heidelberg, Germany
[3] NEC Labs Europe, D-69115 Heidelberg, Germany
基金
欧盟地平线“2020”;
关键词
Time factors; Vehicles; 5G mobile communication; Medical services; Road safety; Real-time systems; Quality of service; MEC; 5G; multi-domain back situation awareness; NFV orchestration; vehicular communications; public safety; TIME; 5G;
D O I
10.1109/TVT.2023.3304172
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the public safety sector, 5G offers immense opportunities for enhancing mission-critical services by provisioning virtualized service functions at the network edge, which enables achieving high reliability and low-latency. One of these mission-critical services is Back Situation Awareness (BSA) that supports Emergency Vehicles (EmVs) by increasing awareness about them on the roads. In this article, we introduce an on-demand BSA application service, which has been developed for multi-domain Multi-Access Edge Computing (MEC) systems, enabling early notification for vehicles on the Estimated Time of Arrival (ETA) of an approaching EmV. The state-of-the-art approaches inform civilian vehicles about EmVs only when they are in a close proximity (up to 300 m). However, in some situations (e.g., in congested areas), this may not be enough for the civilian vehicles to safely and timely maneuver out of the lane of an EmV. Our approach is, to the best of our knowledge, a unique way to significantly extend this awareness by creating an orchestrated 5G-based MEC deployment of BSA application service on optimally selected edges, thereby stretching over multiple edge domains and even countries. While consuming the real-time location, speed, and heading of an EmV, such application service affords the drivers with sufficient time to create a clear corridor, allowing the EmV to pass through unhindered in a safe manner thereby increasing the mission success. The detailed design and the performance analysis of the BSA application service that has been created following modern cloud-native principles based on Docker and Kubernetes, is presented in terms of the impact of emergency scale on the MEC system resources and service response time. Moreover, we also introduce a metric called panic indicator, which depicts how the proposed BSA service can potentially help in enabling drivers to calmly maneuver out of the path of an EmV, thereby increasing road safety.
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页码:660 / 677
页数:18
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