FI, Extended Sensors, Extended sensors with redundant edge processing
收藏Mendeley Data2024-01-31 更新2024-06-28 收录
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https://zenodo.org/record/7348913
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Use Case Category: Extended Sensors User Story: Extended sensors with redundant edge processing Location: Finnish (FI) trial site According to 3GPP TS 22.186 R16, Extended Sensors “enable the exchange of raw or processed data gathered through local sensors or live video data among vehicles, RSUs, devices of pedestrians and V2X application servers. The vehicles can enhance the perception of their environment beyond what their own sensors can detect and have a more holistic view of the local situation”. User Story: Extended sensors with redundant Edge processing In this use case, we take video-based cooperative perception for automated vehicles and evaluate the reliability and performance of networking and edge computing services in x-border scenarios. We will evaluate the functionalities and performance (e.g. processing delay, migration overhead) of an automated vehicle using edge computing for cooperative perception, including auto discovery of edge nodes, adaptive task allocation, and seamless service migration. When a V2N connection is established, the automated vehicle receives the network address of an edge node connected with the same 5G base station. Since an automated vehicle is connected simultaneously to two networks, it is connected by default to two edge nodes at the same time. Data generated by the automated vehicle is forwarded to both edge nodes for processing. When the automated vehicle receives the processing results from one edge node already, it can cancel the task on the other edge node. When the automated vehicle is connected to a different network, services will also migrate to an edge node connected to the newly connected base station.
创建时间:
2024-01-31



