BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-Agent and Swarm Control

Selden, Mark; Zhou, Jason; Campos, Felipe; Drew, Daniel; Pister, Kristofer S. J.

doi:10.1109/mrs50823.2021.9620611

Cited by 2 publications

(1 citation statement)

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“…In existing research, unrealistic assumptions are often made about the reliability of wireless communications, such as assuming perfect transmission within a given radius. Prior research has shown that imperfect communication results in swarm behaviours breaking down [12], and so it is therefore not always appropriate to simply ignore the communications medium and rely on TCP to transmit data 'eventually'.…”

Section: Prior Workmentioning

confidence: 99%

Adaptive Application Behaviour for Robot Swarms using Mixed-Criticality

Signer,

Gray

2023

Electron. Proc. Theor. Comput. Sci.

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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.

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Section: Prior Workmentioning

confidence: 99%