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 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
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. |
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ISSN: | 1049-8923 1099-1239 |
DOI: | 10.1002/rnc.7012 |