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This is a Quantitative Study study.

October 8, 2025Open Access

Integrated Sensing, Computing and Semantic Communication for Vehicular Networks

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Novel framework integrates sensing and semantic communication in vehicular networks, ensuring secure data transmission.

The proposed framework enhances secure communication in vehicular networks, maximizing semantic secrecy while managing computing resources.
Utilizing an extended Kalman filter allows for precise tracking of vehicles, ensuring reliable sensing and communication.
The framework addresses a complex non-convex optimization problem to balance communication efficiency and security measures.
Simulation results confirm the advantages of the framework, including improved data throughput and secure message handling.

Yang et al. (2025) studied this question.

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