Content Popularity Modeling for Cache-Based V-to-V Broadcasting in Metropolitan Areas

EasyChair Preprint 13209

Abstract

Content popularity modeling plays a crucial role in optimizing cache-based V-to-V (Vehicle-to-Vehicle) broadcasting in metropolitan areas. As V-to-V broadcasting becomes increasingly prevalent in urban environments, efficient content delivery becomes a challenge due to limited bandwidth and high vehicle mobility. This paper proposes the integration of content popularity modeling into cache management strategies to enhance the effectiveness of V-to-V broadcasting.

The paper begins by providing an introduction to V-to-V broadcasting and highlighting the significance of content popularity modeling in optimizing cache-based solutions. It then explores the concept of cache-based V-to-V broadcasting, discussing its potential to improve efficiency by reducing network congestion and enhancing content availability.

A comprehensive overview of content popularity modeling is presented, including various approaches such as historical data analysis and machine learning algorithms. The benefits of content popularity modeling in cache-based V-to-V broadcasting are discussed, emphasizing its role in cache replacement strategies and content replication decisions.

Keyphrases: Cache-based V-to-V broadcasting, Content popularity modeling, metropolitan areas, road safety, traffic efficiency

@booklet{EasyChair:13209,
  author    = {Edwin Frank and Godwin Olaoye and Ayuns Luz},
  title     = {Content Popularity Modeling for Cache-Based V-to-V Broadcasting in Metropolitan Areas},
  howpublished = {EasyChair Preprint 13209},
  year      = {EasyChair, 2024}}