Adaptive Application Behaviour for Robot Swarms using Mixed-Criticality

Sven Signer, Ian Gray

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

Abstract

Communication is a vital component for all swarm robotics applications, and even simple swarm robotics behaviours often break down when this communication is unreliable. Since wireless communications are inherently subject to interference and signal degradation, real-world swarm robotics applications will need to be able handle such scenarios. This paper argues for tighter integration of application level and network layer behaviour, so that the application can alter its behaviour in response to a degraded network. This is systematised through the implementation of a mixed-criticality system model. We compare a static application behaviour with that of an application that is able to alter its behaviour in response to the current criticality level of a mixed-criticality wireless protocol. Using simulation results we show that while a static approach is sufficient if the network conditions are known a priori, a mixed-criticality system model is able to adapt application behaviour to better support unseen or unpredictable conditions.
Original languageEnglish
Title of host publicationProceedings of the Third Workshop on Agents and Robots for reliable Engineered Autonomy
Pages71-82
Number of pages12
DOIs
Publication statusPublished - 30 Sept 2023
EventThird Workshop on Agents and Robots for reliable Engineered Autonomy - Kraków, Poland
Duration: 1 Oct 20231 Oct 2023
https://areaworkshop.github.io/AREA2023/

Publication series

NameEPTCS
Volume391

Conference

ConferenceThird Workshop on Agents and Robots for reliable Engineered Autonomy
Abbreviated titleAREA
Country/TerritoryPoland
CityKraków
Period1/10/231/10/23
Internet address

Bibliographical note

© S. Signer & I. Gray

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