Document Type
Article
Publication Date
5-1-2022
Publisher
Institute of Electrical and Electronics Engineers
Source Publication
IEEE Transactions on Mobile Computing
Source ISSN
1536-1233
Abstract
In this paper, the content service provision of information-centric vehicular networks (ICVNs) is investigated from the aspect of mobile edge caching, considering the dynamic driving-related context information. To provide up-to-date information with low latency, two schemes are designed for cache update and content delivery at the roadside units (RSUs). The roadside unit centric (RSUC) scheme decouples cache update and content delivery through bandwidth splitting, where the cached content items are updated regularly in a round-robin manner. The request adaptive (ReA) scheme updates the cached content items upon user requests with certain probabilities. The performance of both proposed schemes are analyzed, whereby the average age of information (AoI) and service latency are derived in closed forms. Surprisingly, the AoI-latency trade-off does not always exist, and frequent cache update can degrade both performances. Thus, the RSUC and ReA schemes are further optimized to balance the AoI and latency. Extensive simulations are conducted on SUMO and OMNeT++ simulators, and the results show that the proposed schemes can reduce service latency by up to 80% while guaranteeing content freshness in heavily loaded ICVNs.
Recommended Citation
Zhang, Shan; Li, Junjie; Luo, Hongbin; Gao, Jie; Zhao, Lian; and Shen, Xuemin Sherman, "Low-Latency and Fresh Content Provision in Information-Centric Vehicular Networks" (2022). Electrical and Computer Engineering Faculty Research and Publications. 701.
https://epublications.marquette.edu/electric_fac/701
ADA Accessible Version
Comments
Accepted version. IEEE Transactions on Mobile Computing, Vol. 21, No. 5 (May 1, 2022): 1723-1738. DOI. © 2022 Institute of Electrical and Electronics Engineers. Used with permission.