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Performance Comparison of DTN Routing Protocols in Vehicular-DTN Environment

Authors: Makoto Ikeda; Taiki Honda; Seiichiro Ishikawa; Leonard Barolli;

Performance Comparison of DTN Routing Protocols in Vehicular-DTN Environment

Abstract

The Delay/Disruption Tolerant Networking (DTN) aims to provide inter-operable communications with wide range of networks which have poor performance characteristics. In this paper, we propose a message suppression method for Vehicular DTN (VDTN). The simulations for two scenarios are conducted considering obstacles (buildings), where Message Suppression with Road Side Units (MSRs) are present or not present. We consider 802.11p standard and send bundle messages in a realistic scenario of east side of Tokyo station area in Japan imported from open street map. We use the packet delivery ratio, duplicated bundle messages and end-to-end delay as evaluation metrics. We can observe that our proposed method can reduce the duplicated bundle messages, even if the number of vehicles is increased. Moreover, our message suppression method has almost the same packet delivery ratio with the Epidemic conventional method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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