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Advancing Space Communications: Experimental Infrastructure for Delay-Tolerant Networks (DTN)

This project focuses on enhancing space communication networks through the development of Delay-Tolerant Network (DTN) protocols and infrastructures. We aim to review existing DTN implementations, address high-delay links, and design critical applications for low bandwidth, low power environments. The project will also involve creating robust system architectures tailored for demanding space operations, ensuring effective network management, security, and routing strategies. As the number of space missions rises, innovative and autonomous solutions are essential for achieving mission success.

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Advancing Space Communications: Experimental Infrastructure for Delay-Tolerant Networks (DTN)

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  1. Ed Birrane Edward.Birrane@jhuapl.edu 443-778-7423 NASA DTN Space Readiness ProjectRequest forExperimental Infrastructure

  2. NASA DTN Space Readiness Project • Review existing DTN Protocols and Implementations for Space Systems • Bundle Protocol • Licklider Transmission protocol • Develop System Architectures for Space Systems • High Delay Links • Deterministic, Periodic Contact • Extremely Limited Bandwidth (low power, low opportunity, sparse mesh) • Design and Prototype Critical Support Applications • Network Management • Security • Routing Image credit: NASA/JPL With the increasing number of planned missions, future space networks will require autonomous, network-centric, packet-switched networks to achieve mission goals

  3. Roadmap (Unreadable)

  4. Infrastructure Themes • Link Simulation • API for defining complex link characteristics • Pluggable link models • Faster than simulation-time message delivery • Link Administration • Backchannels to collect link information for post-experiment analysis • Visualization of link state • Ability to change links during the experiment • Change link endpoints (Orbiters) • Change link bandwidth and bit-error (elevation angles) • Change link delays (orbitology) • Focus on Node Emulation • Heterogeneous hardware platforms (Intel, PowerPC, embedded) • Instrumented node analysis (CPU, RAM, Network usage) • No bias inserted from virtual machines, if desired.

  5. Questions? Ed Birrane Edward.Birrane@jhuapl.edu 443-778-7423 https://www.spacecomm.nasa.gov/spacecomm/images/DTN_evolution.gif

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