JOURNAL ARTICLE

Optimal Content Downloading In Vehicular Network With Density Measurement

D.Jayachandran E. Lalitha

Year: 2018 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

The existence of Internet-connected navigation and infotainment systems is becoming a truth that will easily lead to a remarkable growth in bandwidth demand by in-vehicle users. In Examples the applications of vehicular communication proliferate, and range from the updating of road maps to the repossession of nearby points of interest, downloading of touristic information and multimedia files. This content downloading system will induce the vehicular user to use the resource to the same extent as today’s mobile customers. By this approach communication-enabled vehicles are paying attention in downloading different contents from Internet-based servers. We summarize the performance limits of such a vehicular multimedia content downloading system by modeling the content downloading process as an effective problem and developing the overall system throughput with density measurement. Results highlight the methods where the Roadside infrastructure i.e., access points are working at different capabilities irrespective of vehicle density, the vehicle-to-vehicle communication

Keywords:
Upload Content (measure theory) Computer science Computer network World Wide Web Mathematics

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Topics

Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Industrial Technology and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Autonomous Vehicle Technology and Safety
Physical Sciences →  Engineering →  Automotive Engineering

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