Linear constraints for ensuring k‐hop connectivity using mixed‐integer programming for multi‐agent systems

This note concerns the problem of k$$ k $$‐hop connectivity in a network of mobile agents, which is achieved if any pair of agents can communicate with each other through a link of k−1$$ k-1 $$ or fewer intermediate nodes. We propose linear constraints involving binary optimization variables to ensu...

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Veröffentlicht in:International journal of robust and nonlinear control 2024-01, Vol.34 (2), p.1433-1447
Hauptverfasser: Afonso, Rubens J. M., Galvão, Roberto K. H., Souza, Gabriel A., Maximo, Marcos R. O. A., Caregnato‐Neto, Angelo
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Sprache:eng
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Zusammenfassung:This note concerns the problem of k$$ k $$‐hop connectivity in a network of mobile agents, which is achieved if any pair of agents can communicate with each other through a link of k−1$$ k-1 $$ or fewer intermediate nodes. We propose linear constraints involving binary optimization variables to ensure k$$ k $$‐hop connectivity. Such constraints are then integrated into a mixed‐integer linear programming (MILP) trajectory planning model. Simulation results illustrate the application of the proposed method and the effect of varying k$$ k $$ in the context of a mission involving the visitation of multiple targets.
ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.7012