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Towards new e-Infrastructure and e-Services for Developing Countries. 15th International Conference, AFRICOMM 2023, Bobo-Dioulasso, Burkina Faso, November 23–25, 2023, Proceedings, Part I

Research Article

A K-Means Based Approach for Optimal Gateway Deployment in LoRaWAN-SIM

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-81570-6_11,
        author={Thomas Djotio Ndie and Antoine Junior Tsagmo Denkeng and Karl Jonas and Roblex Nana Tchakout\^{e}},
        title={A K-Means Based Approach for Optimal Gateway Deployment in LoRaWAN-SIM},
        proceedings={Towards new e-Infrastructure and e-Services for Developing Countries. 15th International Conference, AFRICOMM 2023, Bobo-Dioulasso, Burkina Faso, November 23--25, 2023, Proceedings, Part I},
        proceedings_a={AFRICOMM},
        year={2025},
        month={2},
        keywords={Internet of Things LPWAN LoRa Technology Simulation},
        doi={10.1007/978-3-031-81570-6_11}
    }
    
  • Thomas Djotio Ndie
    Antoine Junior Tsagmo Denkeng
    Karl Jonas
    Roblex Nana Tchakouté
    Year: 2025
    A K-Means Based Approach for Optimal Gateway Deployment in LoRaWAN-SIM
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-031-81570-6_11
Thomas Djotio Ndie,*, Antoine Junior Tsagmo Denkeng1, Karl Jonas, Roblex Nana Tchakouté
  • 1: Faculty of Sciences
*Contact email: tdjotio@gmail.com

Abstract

LoRais a technology that enables low-energy wireless communications over very long distances. Under these conditions, the simulation of LoRa projects becomes essential. Indeed, it allows on the one hand to virtually model and evaluate the performance of projects in the field and, on the other hand, to anticipate the optimization of the often expensive costs during the implementation of these projects. In this paper, we revisit the issue of simulation for LoRaWAN networks. Our research has led us to conclude that a LoRaWAN simulator’s relevance can be assimilated to the problem of better gateway placement with the best exploitation of their parameters. Our approach consists of first studying some of the existing simulators with the aim of proposing a generic architecture model for such a tool and then, proposing recommendations for the selection of relevant simulators. To validate our model, we used the K-means machine learning technique to solve the problem of bad gateway locations in the LoRaWAN-SIM simulator. From our prototypedK-LoRaWAN-SIMsimulator, we observed a gain of 10 gateways compared to the LoRaWAN-SIM simulator considered as our reference prototype. In fact, the results obtained with 25 gateways are close to those obtained with 35 gateways in LoRaWAN-SIM.

Keywords
Internet of Things LPWAN LoRa Technology Simulation
Published
2025-02-12
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-81570-6_11
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