Proactive Caching Strategy Based on Optimal Content Distribution in Content Centric Vehicular Networks


KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 6, pp. 131-136, Jun. 2020
10.3745/KTCCS.2020.9.6.131,   PDF Download:  
Keywords: VANETs, CCVN, RSU, Content caching, Optimization
Abstract

In vehicular communications environment, content pre-caching can reduce the delay time from the user to the content server. However, the problem of where and how much pre-caching is still not solved. In this paper, based on the movement probability of the vehicle, we propose a method for pre-caching by distributing the optimized amount of content to each base station candidate that the vehicle will move as follows. First, the movement probability of each vehicle was learned using Markov Model. And the amount of content to be distributed and pre-cached was optimized based on the wireless environment. In experiments based on NS-3, the proposed strategy maintained the least delay compared to the existing protocol, leading to the most traffic-saving results.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
S. Park and E. Lee, "Proactive Caching Strategy Based on Optimal Content Distribution in Content Centric Vehicular Networks," KIPS Transactions on Computer and Communication Systems, vol. 9, no. 6, pp. 131-136, 2020. DOI: 10.3745/KTCCS.2020.9.6.131.

[ACM Style]
Sungjin Park and Euisin Lee. 2020. Proactive Caching Strategy Based on Optimal Content Distribution in Content Centric Vehicular Networks. KIPS Transactions on Computer and Communication Systems, 9, 6, (2020), 131-136. DOI: 10.3745/KTCCS.2020.9.6.131.