[go: up one dir, main page]

Decentralized Self-Adaption With Epidemic Algorithms for Agent-Based Transportation

Schmid SJ, Harth A (2022)


Publication Type: Conference contribution

Publication year: 2022

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 99-104

Conference Proceedings Title: Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022

Event location: Bologna IT

ISBN: 9781665488792

DOI: 10.1109/ICDCSW56584.2022.00028

Abstract

We investigate epidemic algorithms to enable agent-based transporters to be self-adaptive to disturbances and avoid centralized communication mechanisms. We conduct simulation experiments of a shop floor to compare the ability of mobile agents with limited perception to deliver items and adapt to a randomly disturbed environment by communicating decentralized with epidemic algorithms, and centralized via blackboard and direct messages. For evaluation of their adaption, we measure their task performance and communication efficiency. We conclude that agent-based transportation with epidemic algorithms can self-adapt to a disturbed environment, can still perform close to centralized ones, and avoid monolithic components.

Authors with CRIS profile

Related research project(s)

How to cite

APA:

Schmid, S.J., & Harth, A. (2022). Decentralized Self-Adaption With Epidemic Algorithms for Agent-Based Transportation. In Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022 (pp. 99-104). Bologna, IT: Institute of Electrical and Electronics Engineers Inc..

MLA:

Schmid, Sebastian Josef, and Andreas Harth. "Decentralized Self-Adaption With Epidemic Algorithms for Agent-Based Transportation." Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2022, Bologna Institute of Electrical and Electronics Engineers Inc., 2022. 99-104.

BibTeX: Download