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Lessons Learned Algorithms Using our DTN algorithms we are able to achieve 100% delivery at 20% availability with 80% utilization even when no end-to-end paths exist Random walk has high delay and message overhead Flooding-based strategies are attractive in small sparse networks we need alternative strategies for large dense networks Naive link state approaches are inadequate, as expected Adaptive strategies have potential for dramatic improvement more work required to adapt dissemination (rate, scope, and content) Algorithm development and experimentation should continue |