Smart Cloud and D2D Communication Driven Trajectories Prediction with Content Caching

Jiaxin Fan, Jun Wu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As intelligent transportation systems continue to develop, the integration of cloud-assisted device-to-device (D2D) communication and trajectory prediction has become a crucial strategy for enhancing traffic management and safety. However, D2D communication faces challenges such as bandwidth limitations and high latency, which are particularly pronounced in dense urban environments. This paper introduces a novel framework that utilizes self-attention mechanisms and edge content caching to optimize D2D communication and trajectory predictions. By leveraging cloud resources to alleviate computational burdens and employing edge caching to reduce latency and bandwidth consumption, our approach ensures that data transmission between vehicles is both fast and economical. Our innovative method facilitates real-time, accurate trajectory forecasting and efficient data communication among vehicles. We have developed a self-attention model that dynamically prioritizes relevant data points and trajectory information based on historical and contextual traffic data, thereby enabling more precise predictions and a robust communication network. To validate the effectiveness of our proposed framework, we compared its performance with traditional methods. The results demonstrate significant improvements in predictive accuracy and communication efficiency compared to conventional approaches.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 9th International Conference on Smart Cloud, SmartCloud 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-76
Number of pages5
ISBN (Electronic)9798350389500
DOIs
Publication statusPublished - 2024
Event9th IEEE International Conference on Smart Cloud, SmartCloud 2024 - New York City, United States
Duration: 2024 May 102024 May 12

Publication series

NameProceedings - 2024 IEEE 9th International Conference on Smart Cloud, SmartCloud 2024

Conference

Conference9th IEEE International Conference on Smart Cloud, SmartCloud 2024
Country/TerritoryUnited States
CityNew York City
Period24/5/1024/5/12

Keywords

  • D2D communication
  • edge content caching
  • self-attention
  • trajectories prediction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Modelling and Simulation

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