Bio-Inspired Energy Distribution for Programmable Matter

Joshua J. Daymude, Andréa W. Richa, Jamison W. Weber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In systems of active programmable matter, individual modules require a constant supply of energy to participate in the system's collective behavior. These systems are often powered by an external energy source accessible by at least one module and rely on module-to-module power transfer to distribute energy throughout the system. While much effort has gone into addressing challenging aspects of power management in programmable matter hardware, algorithmic theory for programmable matter has largely ignored the impact of energy usage and distribution on algorithm feasibility and efficiency. In this work, we present an algorithm for energy distribution in the amoebot model that is loosely inspired by the growth behavior of Bacillus subtilis bacterial biofilms. These bacteria use chemical signaling to communicate their metabolic states and regulate nutrient consumption throughout the biofilm, ensuring that all bacteria receive the nutrients they need. Our algorithm similarly uses communication to inhibit energy usage when there are starving modules, enabling all modules to receive sufficient energy to meet their demands. As a supporting but independent result, we extend the amoebot model's well-established spanning forest primitive so that it self-stabilizes in the presence of crash failures. We conclude by showing how this self-stabilizing primitive can be leveraged to compose our energy distribution algorithm with existing amoebot model algorithms, effectively generalizing previous work to also consider energy constraints.

Original languageEnglish (US)
Title of host publicationICDCN 2021 - Proceedings of the 2021 International Conference on Distributed Computing and Networking
PublisherAssociation for Computing Machinery
Pages86-95
Number of pages10
ISBN (Electronic)9781450389334
DOIs
StatePublished - Jan 5 2021
Event22nd International Conference on Distributed Computing and Networking, ICDCN 2021 - Virtual, Online, Japan
Duration: Jan 5 2021Jan 8 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference22nd International Conference on Distributed Computing and Networking, ICDCN 2021
Country/TerritoryJapan
CityVirtual, Online
Period1/5/211/8/21

Keywords

  • biofilms
  • biologically-inspired algorithms
  • distributed algorithms
  • energy
  • programmable matter
  • self-organization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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