Published October 9, 2025 | Version v1
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IMPROVING DATA TRANSMISSION IN THE VANET USING MULTI-CRITERIA DECISION MAKING METHOD BASED ON FUZZY LOGIC

Authors/Creators

Description

In vehicular ad-hoc networks the packets are sent using multi-hop methods and the receiving limit of a
message is gradually extended, but the exponential increment of the number of nodes re-broadcasting a
message results in broadcast storm problem in data broadcasting in this case. Some characteristics like
high speed of nodes, rapid topological changes and repetitive discontinuities have made it difficult to
design an efficient broadcasting protocol for these networks.
We have offered a novel fuzzy method based on multi-criteria decision-making (MCDM) for prioritizing the
vehicles in selection of the most proper neighbor to broadcast data in this paper. With using this fuzzy
method, the most proper vehicles participate in data broadcasting. The results of simulation using NS show
that because of selecting the neighboring vehicles with high priority in data broadcasting, the speed of
sending the packs is increased and the network load is considerably decreased. This method also
considerably decreases broadcasting traffic.

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Other
In vehicular ad-hoc networks the packets are sent using multi-hop methods and the receiving limit of a message is gradually extended, but the exponential increment of the number of nodes re-broadcasting a message results in broadcast storm problem in data broadcasting in this case. Some characteristics like high speed of nodes, rapid topological changes and repetitive discontinuities have made it difficult to design an efficient broadcasting protocol for these networks. We have offered a novel fuzzy method based on multi-criteria decision-making (MCDM) for prioritizing the vehicles in selection of the most proper neighbor to broadcast data in this paper. With using this fuzzy method, the most proper vehicles participate in data broadcasting. The results of simulation using NS show that because of selecting the neighboring vehicles with high priority in data broadcasting, the speed of sending the packs is increased and the network load is considerably decreased. This method also considerably decreases broadcasting traffic.

Related works

Is published in
Event: In vehicular ad-hoc networks the packets are sent using multi-hop methods and the receiving limit of a message is gradually extended, but the exponential increment of the number of nodes re-broadcasting a message results in broadcast storm problem in data broadcasting in this case. Some characteristics like high speed of nodes, rapid topological changes and repetitive discontinuities have made it difficult to design an efficient broadcasting protocol for these networks. We have offered a novel fuzzy method based on multi-criteria decision-making (MCDM) for prioritizing the vehicles in selection of the most proper neighbor to broadcast data in this paper. With using this fuzzy method, the most proper vehicles participate in data broadcasting. The results of simulation using NS show that because of selecting the neighboring vehicles with high priority in data broadcasting, the speed of sending the packs is increased and the network load is considerably decreased. This method also considerably decreases broadcasting traffic. (Other)

Dates

Other
2013
In vehicular ad-hoc networks the packets are sent using multi-hop methods and the receiving limit of a message is gradually extended, but the exponential increment of the number of nodes re-broadcasting a message results in broadcast storm problem in data broadcasting in this case. Some characteristics like high speed of nodes, rapid topological changes and repetitive discontinuities have made it difficult to design an efficient broadcasting protocol for these networks. We have offered a novel fuzzy method based on multi-criteria decision-making (MCDM) for prioritizing the vehicles in selection of the most proper neighbor to broadcast data in this paper. With using this fuzzy method, the most proper vehicles participate in data broadcasting. The results of simulation using NS show that because of selecting the neighboring vehicles with high priority in data broadcasting, the speed of sending the packs is increased and the network load is considerably decreased. This method also considerably decreases broadcasting traffic.

References

  • In vehicular ad-hoc networks the packets are sent using multi-hop methods and the receiving limit of a message is gradually extended, but the exponential increment of the number of nodes re-broadcasting a message results in broadcast storm problem in data broadcasting in this case. Some characteristics like high speed of nodes, rapid topological changes and repetitive discontinuities have made it difficult to design an efficient broadcasting protocol for these networks. We have offered a novel fuzzy method based on multi-criteria decision-making (MCDM) for prioritizing the vehicles in selection of the most proper neighbor to broadcast data in this paper. With using this fuzzy method, the most proper vehicles participate in data broadcasting. The results of simulation using NS show that because of selecting the neighboring vehicles with high priority in data broadcasting, the speed of sending the packs is increased and the network load is considerably decreased. This method also considerably decreases broadcasting traffic.