A Simulation of Heterogeneous Networked Lunar Clocks.
spacetime employs Agent-Based Modeling to examine lunar networks in the
Cislunar Open Clock Synchronization System. It focuses on how network topology
and time synchronization evolve in a growing lunar ecosystem, evaluating both
centralized and decentralized Positioning, Navigation, and Timing (PNT) service
network configurations. The Agent-Based Model includes Transmitters, Receivers,
and Peers, simulating their movement, clock drift, and interactions. Key metrics
for assessment encompass accuracy, availability, continuity, interoperability,
cost, and signal integrity. Motivated by advancements in space technologies and
the increase in lunar missions, the project advocates for a resilient
peer-to-peer design that accommodates diverse cislunar ecosystems. The study
aims to predict system performance relative to interconnected assets and
considers interoperability with other missions, including the definition of a
Lunar Reference Frame.
Documentation is available at philiplinden.github.io/spacetime.
Install the dependencies for your operating system that are needed to run Bevy: The Bevy Book - Setup
Then run the project.
cargo runLearning is one of the main objectives of this project. As such, several code demos and iPy notebooks can be found in
the learning directory.
The repository contains a mix of Python and Rust. See the docs for more discussion on code architectures for this project. It's been an exploration with surprising twists.
There are two Python demo models that run interactively in the browser. Install dependencies to a virtual environment using Python Poetry. Poetry is then used to spin up the demo projects.
From the learning directory:
# install python poetry
pip install poetry
# install all dependencies
poetry installThe Orbits model uses Nyx to spawn a collection of satellites and propagate their trajectories. Mesa is used to set up and execute the simulation.
poetry run mesa runserver learrning/demos/orbitsThe Marco Polo model uses Mesa to spawn a collection of agents to play the children's game Marco Polo.
poetry run mesa runserver learning/demos/marcopoloThis project borrows from example code provided by krABMaga/examples, nyx-space/nyx, and Canleskis/particular.
Attributions for all assets are listed in assets/README.md.
This repository is distributed under the Mozilla Public License 2.0 (MPL-2.0). MPL-2.0 requires that modifications to the covered code be released under the same license, thus ensuring improvements remain open-source. However, it allows the combining of the covered software with proprietary parts, providing flexibility for both academic and commercial integrations.
For more details, please see the full text of the license or read a summary by Github.
