Collective event detection using bio-inspired minimalistic communication in a swarm of underwater robots

Joshua Cherian Varughese, Hannes Hornischer, Ronald Thenius*, Franz Wotawa, Thomas Schmickl

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Mobile sensor networks and robotic swarms are being used for monitoring and exploring environments or environmental events due to the advantages offered by their distributed nature. However, coordination and self-organization of a large number of individuals is often costly in terms of energy and computation power, thus limiting the longevity of the distributed system. In this paper we present a bio-inspired algorithm enabling a robotic swarm to collectively detect anomalies in environmental parameters in a self-organized, reliable and energy efficient manner. Individuals in the swarm communicate via 1-bit signals to collectively confirm the detection of an anomaly while minimizing energy spent for communication and taking measurements. This algorithm is specifically designed for a swarm of underwater robots called “aMussels” to examine a phenomenon referred to as “anoxia” which results in oxygen depletion in the lagoon of Venice. We present the algorithm, conduct simulations and robotic experiments to examine the performance of the algorithm with respect to early detection of anoxia while minimizing energy consumption.

Originalspracheenglisch
TitelALIFE 2019
UntertitelProceedings of the Artificial Life Conference 2019
Herausgeber (Verlag)MIT Press
Seiten634-641
Seitenumfang8
DOIs
PublikationsstatusVeröffentlicht - 1 Jan 2020
Veranstaltung2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges - Newcastle upon Tyne, Großbritannien / Vereinigtes Königreich
Dauer: 29 Jul 20192 Aug 2019

Konferenz

Konferenz2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges
KurztitelALIFE 2019
LandGroßbritannien / Vereinigtes Königreich
OrtNewcastle upon Tyne
Zeitraum29/07/192/08/19

ASJC Scopus subject areas

  • !!Modelling and Simulation

Fingerprint Untersuchen Sie die Forschungsthemen von „Collective event detection using bio-inspired minimalistic communication in a swarm of underwater robots“. Zusammen bilden sie einen einzigartigen Fingerprint.

  • Dieses zitieren

    Varughese, J. C., Hornischer, H., Thenius, R., Wotawa, F., & Schmickl, T. (2020). Collective event detection using bio-inspired minimalistic communication in a swarm of underwater robots. in ALIFE 2019: Proceedings of the Artificial Life Conference 2019 (S. 634-641). MIT Press. https://doi.org/10.1162/isal_a_00232