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Area Coverage in a Fixed-Obstacle Environment Using Mobile Sensor Networks

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Control and Systems Engineering

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 27))

Abstract

In this chapter, efficient deployment strategies for mobile sensor networks are proposed to improve the coverage area in target fields containing obstacles. The developed algorithms iteratively calculate and update the position of the sensors in order to improve the overall achievable coverage by the network. The visibility-aware multiplicatively weighted Voronoi (VMW-Voronoi) diagram is used to discover coverage gaps in networks that have sensors with different sensing capabilities. The sensors, then, reduce the size of the coverage gaps in the target field. The relocation strategy also considers possible existing obstacles in the field. Simulation results are provided to demonstrate the effectiveness of the proposed distributed deployment schemes.

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Author information

Authors and Affiliations

  1. Department of Electrical & Computer Engineering, McGill University, 845 Rue Sherbrooke Ouest, Montréal, Québec, H3A 0G4, Canada

    Hamid Mahboubi

  2. Department of Electrical & Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. W., EV005.139, Montréal, Québec, H3G 1M8, Canada

    Amir G. Aghdam

  3. National Institute of Standards and Technology (NIST), 100 Bureau Drive, Stop 8910, Gaithersburg, MD, 20899, USA

    Kamran Sayrafian-Pour

Authors
  1. Hamid Mahboubi
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  2. Amir G. Aghdam
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  3. Kamran Sayrafian-Pour
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Corresponding author

Correspondence to Hamid Mahboubi .

Editor information

Editors and Affiliations

  1. Electrical Engineering Department, New Mexico Institute of Mining and Technology, Socorro, New Mexico, USA

    Aly El-Osery

  2. Electrical and Computer Engineering Department, The University of Texas at San Antonio, San Antonio, Texas, USA

    Jeff Prevost

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© 2015 Springer International Publishing Switzerland

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Mahboubi, H., Aghdam, A.G., Sayrafian-Pour, K. (2015). Area Coverage in a Fixed-Obstacle Environment Using Mobile Sensor Networks. In: El-Osery, A., Prevost, J. (eds) Control and Systems Engineering. Studies in Systems, Decision and Control, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-14636-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-14636-2_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14635-5

  • Online ISBN: 978-3-319-14636-2

  • eBook Packages: EngineeringEngineering (R0)

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