2018
DOI: 10.1007/s11276-018-01895-3
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R-DRA: a replication-based distributed randomized algorithm for data dissemination in connected vehicular networks

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Cited by 9 publications
(10 citation statements)
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“…The above methods do not consider the costs on the basis of the duplication creation and placements and also does not address the utilization and the security demands of the data gathered from the internet of things, so the proposed method puts forth the proper placement of the data replications so as to reduce the cost, time, power utilization enhancing the data utilization using the random replication algorithm [16] and assures security for the data using the advanced cryptographic techniques [17].…”
Section: Figure 2 Process and Types Of Duplicationmentioning
confidence: 99%
“…The above methods do not consider the costs on the basis of the duplication creation and placements and also does not address the utilization and the security demands of the data gathered from the internet of things, so the proposed method puts forth the proper placement of the data replications so as to reduce the cost, time, power utilization enhancing the data utilization using the random replication algorithm [16] and assures security for the data using the advanced cryptographic techniques [17].…”
Section: Figure 2 Process and Types Of Duplicationmentioning
confidence: 99%
“…The authors in [20] focused on data dissemination in IoV with social characteristic and applied the property in the design of dissemination strategies. Fan et al [9] considered vehicles with the same capability while Lin et al [21] studied resource allocation in vehicular cloud computing systems with heterogeneous vehicles and proposed a semi-Markov based architecture to achieve optimal resource allocation. Ghorai et al [22] considered that the obstacles might affect radio propagation and then proposed a forwarding node selection algorithm based on fuzzy logic.…”
Section: Data Dissemination In Vehicular Networkmentioning
confidence: 99%
“…. , in descending order; (6) if the nodes with value no smaller than two are more than the ones with value zero then (7) let the latter ones take operations with the former ones; (8) else (9) take operations the other way around. (10) end if (11) if there is no node with value at least two or with value zero then (12) Let and − +1 take average for = 1, 2, .…”
Section: Distributed Randomised Algorithmmentioning
confidence: 99%
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