A simulation that compares traditional methods of data preservation against priority-based Integer Linear Programming approaches.

A simulation that compares traditional methods of data preservation against a Multi-Agent Reinforcement Learning approach.

Sensor Network generator visualizer for CS2 Min-Cost Flow input for maximizing profit in data preservation.

A simulation for studying the Nash-Equilibria of data preservation of base station-less networks (BSNs).

A sensor network generator that works with Goldberg's and Cherkassky's Minimum Cost Flow algorithm.