A Receiver-Forwarding Decision Scheme Based on Bayesian for NDN-VANET

• 作 者: Xian Guo Yuxi Chen Laicheng Cao Di Zhang Yongbo Jiang
• 机 构: School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
• 出 处: 中国通信（英文版）
• 发表日期: 2020年8期
• 关键词: named-data networking content routing Bayesian decision theory broadcast storm V

Named Data Network (NDN) has caused wide concs in VANET community because NDN uses a content-centric mech-anism that naming content rather than the host. However, integrating NDN into VANET (NDN-VANET) also faces several challenges including consumer/provider mobile, broad-cast storm problem and so on. In this paper, we propose a Bayesian-based Receiver Forward-ing Decision (BRFD) scheme to mitigate the broadcast storm problem incurred by interest packets in NDN-VANET. In the BRFD, vehi-cles 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 mech-anism is introduced in BRFD. Experimental results show that the BRFD algorithm has bet-ter performance in several aspects in contrast to probability-based forwarding scheme and bread crumb routing.