2011 IEEE International Conference on Communications (ICC) 2011
DOI: 10.1109/icc.2011.5962535
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Impact of Scheduling and Dropping Policies on the Performance of Vehicular Delay-Tolerant Networks

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Cited by 17 publications
(9 citation statements)
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“…This contribution extends the main features of a previous laboratory testbed [13,[16][17][18] applying them into a real deployment (an embedded VDTN testbed). Simulations [19] and real experiments [20] contribute for modeling and analysis of vehicular architectures.…”
Section: Introductionmentioning
confidence: 82%
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“…This contribution extends the main features of a previous laboratory testbed [13,[16][17][18] applying them into a real deployment (an embedded VDTN testbed). Simulations [19] and real experiments [20] contribute for modeling and analysis of vehicular architectures.…”
Section: Introductionmentioning
confidence: 82%
“…These characteristics allow the emulation of network applications in several situations. Different routing protocols approaches (First Contact [49], Epidemic [50], and Spray and Wait [51]) and scheduling and dropping policies (e.g., FIFO, Remaining Lifetime, and Random [18]) are also supported. At the application level, in order to help the communication management, Human Machine Interaction (HMI) is provided by the software platform.…”
Section: Software Platform Structurementioning
confidence: 99%
“…In the schemes discussed thus far, references [15,38] have considered classical drop/forward policies to deal with a limited bandwidth (short contact duration) and a finite buffer (congestion). However, these policies have not considered the parameters that are relevant to bundle delivery such as number of replicas.…”
Section: Local Knowledge Schemesmentioning
confidence: 99%
“…On the other hand, if the contact duration is limited, then FIFO fails because it does not provide any mechanism for preferential delivery or storing high priority messages. In [38], Dias et al evaluated the impact of the said policies on the performance of two routing protocols: epidemic [42] and Spray and Wait [43]. However, a bundle may have a small TTL but has a high probability to be delivered by a node.…”
Section: Local Knowledge Schemesmentioning
confidence: 99%
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