2019
DOI: 10.1177/1550147719865509
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A data dissemination mechanism based on evaluating behavior for vehicular delay-tolerant networks

Abstract: Vehicular delay-tolerant networks are widely used in intelligent transport application. Vehicle nodes exchange and share various information in vehicular delay-tolerant networks. However, current delay-tolerant network routing algorithms do not take into account the dynamic characteristic of traffic flow, and they do not effectively resist cyber attacks, such as black hole attack. To address this issue, we propose a data dissemination mechanism for vehicular delay-tolerant networks. In this mechanism, we devel… Show more

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Cited by 4 publications
(2 citation statements)
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“…A data dissemination mechanism based on evaluating behavior for VDTNs [22] defines a routing protocol that estimates traffic density for SCF node selection decisions. This mechanism also takes into account the behavior of vehicles under a predefined interaction score, calculated using four parameters; namely, node interaction freshness, node interaction dispersion, node interaction contribution, and node interaction participation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A data dissemination mechanism based on evaluating behavior for VDTNs [22] defines a routing protocol that estimates traffic density for SCF node selection decisions. This mechanism also takes into account the behavior of vehicles under a predefined interaction score, calculated using four parameters; namely, node interaction freshness, node interaction dispersion, node interaction contribution, and node interaction participation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Although the two networks, VANET and VDTN [25,26], are independent and self-governed due to in-built node cooperation, some nodes may not contribute to the network performance by sharing resources. It is likely that some nodes in the network while using the resources of the network may not relay messages for other nodes; these nodes are termed selfish nodes.…”
Section: Introductionmentioning
confidence: 99%