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International Wireless Internet Conference

WiCON 2017: Wireless Internet pp 221–231Cite as

Swarm of Networked Drones for Video Detection of Intrusions

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Abstract

Border control, sensitive area monitoring and intrusion detection are surveillance problems of practical import that are well suited to wireless sensor networks. In this paper, we study the application of a swarm of Unmanned Aerial Vehicles to an intrusion detection and tracking problem. We introduce the Boids scheme to maintain the drones team formation in order to deal with coverage issue and collision problem. A contribution of our work is that we do not assume a ground centralized control of the drones; on the contrary, the swarm is considered as a set of autonomous and self organized entities.

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References

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Author information

Authors and Affiliations

  1. Université Paris 13, Sorbonne Paris Cité – L2TI (EA 4303), Villetaneuse, France

    Mustapha Bekhti, Nadjib Achir & Khaled Boussetta

  2. Inria URBANET, INSA Lyon, 69621, Villeurbanne, France

    Khaled Boussetta

Authors
  1. Mustapha Bekhti
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  2. Nadjib Achir
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  3. Khaled Boussetta
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Corresponding author

Correspondence to Mustapha Bekhti .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Memorial University, St. John’s, Newfoundland and Labrador, Canada

    Cheng Li

  2. Electrical and Computer Engineering, Auburn University, Auburn, Alabama, USA

    Shiwen Mao

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cite this paper

Bekhti, M., Achir, N., Boussetta, K. (2018). Swarm of Networked Drones for Video Detection of Intrusions. In: Li, C., Mao, S. (eds) Wireless Internet. WiCON 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-319-90802-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-90802-1_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90801-4

  • Online ISBN: 978-3-319-90802-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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