Energy Management in Self-Organizing Particle Systems
Consider a finely-grained computing medium where tasks are collectively executed via distributed
algorithms of individual units. Such is the vision of programmable matter, an emerging technology that spans potential real-world applications ranging from self-repairing structures, medical agents healing wounds, to swarm robotics. Towards this end, self-organizing particle systems (SOPS) are used to abstractly model the algorithmic underpinnings of programmable matter, where each particle represents an individual unit. Since energy is a ubiquitous component of any system, this project aims to extend SOPS research through analysis on energy usage.