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| Content Provider | ACM Digital Library |
|---|---|
| Author | Zhang, Honggang Levine, Brian Neil Kurose, Jim Towsley, Don Zhang, Xiaolan |
| Abstract | We study traces taken from UMass DieselNet, a Disruption-Tolerant Network consisting of WiFi nodes attached to buses. As buses travel their routes, they encounter other buses and in some cases are able to establish pair-wise connections and transfer data between them. We analyze the bus-to-bus contact traces to characterize the contact process between buses and its impact on DTN routing performance. We find that the all-bus-pairs aggregated inter-contact times show no discernible pattern. However, the inter-contact times aggregated at a route level exhibit periodic behavior.Based on analysis of the deterministic inter-meeting times for bus pairs running on route pairs, and consideration of the variability in bus movement and the random failures to establish connections, we construct generative route-level models that capture the above behavior. Through trace-driven simulations of epidemic routing, we find that the epidemic performance predicted by traces generated with this finer-grained route-level model is much closer to the actual performance that would be realized in the operational system than traces generated using the coarse-grained all-bus-pairs aggregated model. This suggests the importance in choosing the rightlevel of model granularity when modelingmobility-related measures such as inter-contact times in DTNs. |
| Starting Page | 195 |
| Ending Page | 206 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781595936813 |
| DOI | 10.1145/1287853.1287876 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-09-09 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Epidemic routing Mobility trace modeling Dtn |
| Content Type | Text |
| Resource Type | Article |
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