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A Scalable VRU Protection System Based on Edge Servers

Title
A Scalable VRU Protection System Based on Edge Servers
Authors
Bang, SoojeongLee, MeejeongAhn, Sanghyun
Ewha Authors
이미정
SCOPUS Author ID
이미정scopus
Issue Date
2023
Journal Title
IEEE ACCESS
ISSN
2169-3536JCR Link
Citation
IEEE ACCESS vol. 11, pp. 97590 - 97604
Keywords
ServersPedestriansCamerasArtificial intelligenceRoadsStreaming mediaReal-time systemsCollision avoidanceCooperative systemsVehicular ad hoc networksVehicle safetycooperative computingedge computingvehicular networkingVRU safety
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Indexed
SCIE; SCOPUS WOS
Document Type
Article
Abstract
Various vulnerable road user (VRU) protection systems have been proposed based on the edge server paradigm to take advantage of the reduced latency as well as computational offloading to servers. In most existing studies, the authors presume that each edge server receives data from its associated users and takes care of the collision risks among them. Because of this presumption, the collision risks between users associated with different edge servers can be overlooked until one of the users at risk crosses the boundary of the server. Therefore, users located at or near the boundary of the edge server domain can receive late alerts or, more seriously, miss the alert entirely until a collision occurs. To address this hazardous scenario, we propose a scalable VRU protection system (SVPS) with an edge server cooperation mechanism. SVPS minimizes additional communication and computational overhead while maintaining satisfactory service accuracy even if users are moving. The numeric results demonstrate that SVPS effectively predicts users' risks associated with different edge servers. Furthermore, SVPS is demonstrated to be scalable: The larger the edge server coverage area, the lower the overhead. Therefore, the coverage area should be set as large as possible while still satisfying latency requirements.
DOI
10.1109/ACCESS.2023.3312998
Appears in Collections:
인공지능대학 > 컴퓨터공학과 > Journal papers
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