Integrated Sensing, Communication and Computing for Targeted Dissemination: A Service-Aware Strategy for Internet of Vehicles

In the contemporary era of large-scale Internet of Vehicles (IoV) with intelligent connectivity, efficient dissemination of traffic information is essential for monitoring and analyzing traffic conditions as well as deploying timely emergency rescue. However, in the face of limited wireless communication resources and diverse services, ensuring effective transmission and on-demand dissemination of traffic information has become increasingly urgent. To address this challenge, this paper proposes a novel targeted dissemination strategy driven by integrated sensing, communication and computing (ISCC-TDS), which endows traffic information dissemination with the capability of service awareness and on-demand scheduling. This paper initially establishes the targeted dissemination matrix, which incorporates the sensing of traffic flow and service arrival distribution. Furthermore, the service coexistence mechanism oriented towards communication modeling is designed to maximize the data transmission rate of regular services while ensuring the reliable transmission of emergency services. Additionally, this paper employs an improved proximal policy optimization (PPO) algorithm for computing integration. Simulation results show that the ISCC-TDS can achieve the lowest travel cost in the case of heavy traffic and severe congestion, and there is less than 5% transmission loss for regular services even with the dense arrival of emergency services.zhong