Role of Iso-connectivity Topologies in Multi-agent Interactions
Rajdeep Dutta, Daniel Pack

TL;DR
This paper investigates iso-connectivity topologies in multi-agent systems, providing analytical methods to identify different network configurations with identical connectivity, and explores how agents can move without affecting overall network connectivity.
Contribution
It introduces analytical solutions for determining distinct graphs with the same connectivity and identifies zones where agent movement does not alter global connectivity.
Findings
Multiple iso-connectivity graphs can be analytically determined.
A zone exists where agent movement does not affect connectivity.
Validation through examples confirms the analytical solutions.
Abstract
In this paper, we present the benefits of exploring different topologies with equal connectivity measure, or iso-connectivity topologies, in relation to the multiagent system dynamics. The level of global information sharing ability among agents in a multi-agent network can be quantified by a connectivity measure, called as the Algebraic Connectivity of the associated graph consisting of point-mass agents as nodes and inter-connection links between them as edges. Distinct topologies with the same connectivity play profound role in multi-agent dynamics as they offer various ways to reorganize agents locations according to the requirement during a cooperative mission, without sacrificing the information exchange capability of the entire network. Determination of the distinct multi-agent graphs with identical connectivity is a multimodal problem, in other words, there exist multiple graphs…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Opportunistic and Delay-Tolerant Networks · Neural Networks Stability and Synchronization
