지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.11
- 수록면
- 372 - 375 (4page)
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초록· 키워드
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With the need of multi-access edge computing (MEC) for real-time processing and compatibility between multi-domain edge applications, cellular vehicle-to-everything (C-V2X) is gaining attention. MEC applications responsible to provide information to other applications play a key role in performance. Specifically, the latency involved in the process of provisioning the information of virtual on-board units (vOBU) is crucial for the support of MEC use cases. To overcome this, before exposing the location information of a vehicle at edge, the proposed system applies kalman filter prediction on it. Performance results of the prediction module are shown to be accurate and ahead of time, which acts as a basis to support the idea of exposing vehicle information at the edge to support real-time MEC use cases.
목차
Abstract
I. INTRODUCTION
II. LITERATURE
III. PROPOSED SYSTEM
IV. EXPERIMENTAL-RESULTS AND EVALUATION
V. CONCLUSION
REFERENCES
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