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Towards Efficient Deployment in Internet of Robotic Things

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Book cover Integration, Interconnection, and Interoperability of IoT Systems

Part of the book series: Internet of Things ((ITTCC))

Abstract

Internet of Robotic Things (IoRT) is a new concept introduced for the first time by ABI Research. Unlike the Internet of Things (IoT), IoRT provides a dynamic actuation and is considered as the new evolution of IoT. This new concept will bring new opportunities and challenges, while providing new business ideas for IoT and robotics’ entrepreneurs. In this work, we will focus particularly on two issues: (i) connectivity maintenance among multiple IoRT robots, and (ii) their collective coverage. We will propose (i) IoT-based, and (ii) a neural network control scheme to efficiently maintain the global connectivity among multiple mobile robots to a desired quality-of-service (QoS) level. The proposed approaches will try to find a trade-off between collective coverage and communication quality. The IoT-based approach is based on the computation of the algebraic connectivity and the use of virtual force algorithm. The neural network controller, in turn, is completely distributed and mimics perfectly the IoT-based approach. Results show that our approaches are efficient, in terms of convergence time, connectivity, and energy consumption.

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Notes

  1. 1.

    Each robot increments its counter when it decides to move. In this paper, robot step is defined as the average of the maximum counter value achieved by one robot during the simulation.

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Acknowledgements

This work was partially supported by a grant from CPER Nord-Pas-de-Calais/FEDER Campus Intelligence Ambiante.

Author information

Authors and Affiliations

  1. Inria Lille – Nord Europe, Villeneuve, France

    Cristanel Razafimandimby & Valeria Loscri

  2. University of Roma Tre, Rome, Italy

    Anna Maria Vegni

Authors
  1. Cristanel Razafimandimby
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  2. Valeria Loscri
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  3. Anna Maria Vegni
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Corresponding author

Correspondence to Cristanel Razafimandimby .

Editor information

Editors and Affiliations

  1. Department of Informatics, Modeling, Electronics, and Systems Engineering, Università della Calabria, Rende (CS), Calabria, Italy

    Raffaele Gravina

  2. School of Telecommunications Engineering, Universitat Politècnica de València, Valencia, Spain

    Carlos E. Palau

  3. Rinicom, Lancaster, United Kingdom

    Marco Manso

  4. Department of Electrical Engineering, Technische Universiteit Eindhoven, Eindhoven, Noord-Brabant, The Netherlands

    Antonio Liotta

  5. Department of Informatics, Modeling, Electronics, and Systems Engineering, Università della Calabria, Rende (CS), Calabria, Italy

    Giancarlo Fortino

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Razafimandimby, C., Loscri, V., Vegni, A.M. (2018). Towards Efficient Deployment in Internet of Robotic Things. In: Gravina, R., Palau, C., Manso, M., Liotta, A., Fortino, G. (eds) Integration, Interconnection, and Interoperability of IoT Systems. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-319-61300-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-61300-0_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61299-7

  • Online ISBN: 978-3-319-61300-0

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