In this paper, we evaluate the impact of multiple flows on various delivery methods in Delay/Disruption/Disconnection Tolerant Networking (DTN), focusing particularly on the Dynamic Threshold-based Anti-packet Generation (DTAG) recovery method, which is applied in vehicular environments with grid road maps. The DTAG method strategically minimizes node storage usage by regulating the creation of new bundle messages around vehicles. This approach allows the generation of anti-packets at intermediate nodes and effectively manages data flow before the bundles reach their final destinations. In this evaluation, we compare the proposed DTAG recovery method performance with two protocols: Epidemic and Spray and Wait (SpW). The simulation results have shown that DTAG-Epidemic achieves 100% delivery ratio with 50 nodes and consistently maintains over 98% in other DTAG scenarios demonstrating its high performance. The DTAG-Epidemic can reduce overhead compared to traditional Epidemic, while DTAG-SpW maintains consistent overhead regardless the number of nodes due to its replication constraints.

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A Comparison Study of DTAG Recovery Method with Two Integrated DTAG-SpW and DTAG-Epidemic Methods

  • Shura Tachibana,
  • Makoto Ikeda,
  • Leonard Barolli

摘要

In this paper, we evaluate the impact of multiple flows on various delivery methods in Delay/Disruption/Disconnection Tolerant Networking (DTN), focusing particularly on the Dynamic Threshold-based Anti-packet Generation (DTAG) recovery method, which is applied in vehicular environments with grid road maps. The DTAG method strategically minimizes node storage usage by regulating the creation of new bundle messages around vehicles. This approach allows the generation of anti-packets at intermediate nodes and effectively manages data flow before the bundles reach their final destinations. In this evaluation, we compare the proposed DTAG recovery method performance with two protocols: Epidemic and Spray and Wait (SpW). The simulation results have shown that DTAG-Epidemic achieves 100% delivery ratio with 50 nodes and consistently maintains over 98% in other DTAG scenarios demonstrating its high performance. The DTAG-Epidemic can reduce overhead compared to traditional Epidemic, while DTAG-SpW maintains consistent overhead regardless the number of nodes due to its replication constraints.