A receiver-forwarding decision scheme based on Bayesian for NDN-VANET

Named Data Network (NDN) has caused wide concerns in VANET community because NDN uses a content-centric mechanism that naming content rather than the host. However, integrating NDN into VANET (NDN-VANET) also faces several challenges including consumer/provider mobile, broadcast storm problem and so...

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Published in:China communications 2020-08, Vol.17 (8), p.106-120
Main Authors: Guo, Xian, Chen, Yuxi, Cao, Laicheng, Zhang, Di, Jiang, Yongbo
Format: Article
Language:English
Subjects:
Bayes methods
Bayesian decision theory
broadcast storm
content routing
Machine learning algorithms
named-data networking
Network topology
Routing
Storms
VANET
Vehicle dynamics
Vehicular ad hoc networks
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creator Guo, Xian
Chen, Yuxi
Cao, Laicheng
Zhang, Di
Jiang, Yongbo
description Named Data Network (NDN) has caused wide concerns in VANET community because NDN uses a content-centric mechanism that naming content rather than the host. However, integrating NDN into VANET (NDN-VANET) also faces several challenges including consumer/provider mobile, broadcast storm problem and so on. In this paper, we propose a Bayesian-based Receiver Forwarding Decision (BRFD) scheme to mitigate the broadcast storm problem incurred by interest packets in NDN-VANET. In the BRFD, vehicles received an interest packet are required to make forwarding decisions based on Bayesian decision theory according to current network conditions obtained by neighbor interaction. However, the receiver-forwarding decision in BRFD can also cause a conflict issue because multiple vehicles forward copies of the same packet at the same time. So a back-off mechanism is introduced in BRFD. Experimental results show that the BRFD algorithm has better performance in several aspects in contrast to probability-based forwarding scheme and "bread crumb" routing.
doi_str_mv 10.23919/JCC.2020.08.009
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source IEEE Electronic Library (IEL) Journals
subjects Bayes methods
Bayesian decision theory
broadcast storm
content routing
Machine learning algorithms
named-data networking
Network topology
Routing
Storms
VANET
Vehicle dynamics
Vehicular ad hoc networks
title A receiver-forwarding decision scheme based on Bayesian for NDN-VANET
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