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Algorithm for Solving Optimal Placement of Routers in Mines

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Artificial Intelligence and Soft Computing (ICAISC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13589))

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Abstract

In this paper we present a model of optimization in a form of an algorithm which solves optimal placement of routers in N chambers with \(N-1\) or less connections between them in a network system used i.e. for mining industry. The model is presented for using 2 types of routers with different signal strengths. Proposed algorithm is defined and examined on sample graph structures. Presented algorithm shall behave computational complexity of O(\(n^{2}\)).

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Notes

  1. 1.

    Main point of the algorithm is to provide signal in “rooms” of model, there are examples where not all tunnels get signal to minimize cost of the system.

  2. 2.

    They are used in mines as we can read here [1].

  3. 3.

    Example : we want to show connection between node 1 and 2, plus node 2 and 3. Table of connections would look like this : [3,1,2,2,3].

  4. 4.

    If this node is connected to given point for example point “A”. Any number of single nodes can be connected to point “A” but aren’t required in order for method to work.

  5. 5.

    There could be more nodes connected in a straight line to node 1 and 9.

  6. 6.

    Structures made using combination of normal nodes and nodes with 1 edge.

  7. 7.

    When we delete point from the table, we delete a pair of point that we want to delete and point that its connected to. This way we break connections between nodes.

  8. 8.

    In example it’s node number 27.

  9. 9.

    Example: If 1st method doesn’t solve anything, we will start from 2nd method - step 2.

  10. 10.

    Tests were run on CPU: Intel Core i5-3470.

References

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Correspondence to Marcin Woźniak .

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Popiel, A., Woźniak, M. (2023). Algorithm for Solving Optimal Placement of Routers in Mines. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2022. Lecture Notes in Computer Science(), vol 13589. Springer, Cham. https://doi.org/10.1007/978-3-031-23480-4_25

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  • DOI: https://doi.org/10.1007/978-3-031-23480-4_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23479-8

  • Online ISBN: 978-3-031-23480-4

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