Please use this identifier to cite or link to this item:
Title: Cooperative cache transfer-based on-demand network coded broadcast in vehicular networks
Authors: G. G. Md. Nawaz Ali
Md. Noor-A-Rahim
Md. Ashiqur Rahman
Ayalew, Beshah
Chong, Peter Han Joo
Guan, Yong Liang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: G. G. Md. Nawaz Ali, Md. Noor-A-Rahim, Md. Ashiqur Rahman, Ayalew, B., Chong, P. H. J. & Guan, Y. L. (2019). Cooperative cache transfer-based on-demand network coded broadcast in vehicular networks. ACM Transactions On Embedded Computing Systems, 18(4), 1-20.
Project: S15-1105-RF-LLF
Journal: ACM Transactions on Embedded Computing Systems
Abstract: Real-time traffic updates, safety and comfort driving, infotainment, and so on, are some envisioned applications in vehicular networks. Unlike traditional broadcast, network-coding-assisted broadcast can satisfy multiple vehicles with different data items in a coded form. However, server side encoding requires the prior knowledge about vehicles’ cache information for the successful decoding at the vehicles’ sides. The explicit cache upload from vehicles to Road Side Unit (RSU) wastes upload bandwidth. In multi-RSU vehicular networks, we propose a Cooperative Cache Transfer-based On-demand Network Coded Broadcast called CCTCB. In the proposed CCTCB approach, vehicles do not need to upload their cache information to the server, rather the RSU server learns the vehicles’ cache intrinsically. We derive a probabilistic model to analyze the coding opportunity in the proposed cooperative cache transfer mechanism incorporating vehicle mobility. The comprehensive simulation results validate the superiority of the proposed approach.
ISSN: 1539-9087
DOI: 10.1145/3329865
Rights: © 2019 Association for Computing Machinery. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

Citations 50

Updated on Jan 29, 2023

Web of ScienceTM
Citations 50

Updated on Jan 29, 2023

Page view(s)

Updated on Jan 31, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.