2017 IEEE International Conference on Communications (ICC) 2017
DOI: 10.1109/icc.2017.7996451
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WeiSTARS: A weighted trust-aware relay selection scheme for VANET

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Cited by 12 publications
(9 citation statements)
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“…We use the NS-2.35 simulator [33] to estimate the performance of MAODV [29], MTAODV, LWT-MAODV [20] and RBTM-MAODV [26] under different scenarios. The experimental parameters are set as shown in the Table 6 [34].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We use the NS-2.35 simulator [33] to estimate the performance of MAODV [29], MTAODV, LWT-MAODV [20] and RBTM-MAODV [26] under different scenarios. The experimental parameters are set as shown in the Table 6 [34].…”
Section: Methodsmentioning
confidence: 99%
“…Besides, they compute the cloud droplets and the aggregated trust values using trustworthiness and algorithm. Dahmane et al [20] introduced a weighted probabilistic and trust-aware strategy to ensure that the most reliability relay nodes are selected in multi-hop communications. The authors in [21] proposed a security framework that consists of a hybrid trust model and a misbehaviour detection system, to detect malicious vehicles.…”
Section: Related Workmentioning
confidence: 99%
“…This is nonadapted to the IoV where hundreds of devices with very different mobility patterns are present at the same time. In Reference 23, authors propose a scheme to select relays based on network and trust metrics in VANETs to select trustworthy relays. However, the proposed solution makes use of dedicated RSUs and only one class of mobility is considered.…”
Section: Related Workmentioning
confidence: 99%
“…To deal with such misbehaving, trust establishment can be used [21]. In the Weighted truST-Aware Relay Selection Scheme for VANET (WeiSTARS) scheme choosing the reliable relay node in multi-hop communication is proposed [22]. By providing the weighted probabilistic trust-aware relay selection strategy, the authors of this paper reduced latency and enhanced the packet delivery ratio compared to previous methods.…”
Section: Related Workmentioning
confidence: 99%