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Develop a GIS-Based Context-Aware Sensors Network Deployment Algorithm to Optimize Sensor Coverage in an Urban Area

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Book cover Information Fusion and Intelligent Geographic Information Systems

Part of the book series: Advances in Geographic Information Science ((AGIS))

Abstract

Adequate coverage is an important issue in geosensor networks in order to fulfill the sensing applications in urban areas. GIS as well as optimization methods are widely used to distribute geosensors in the network to achieve the desired level of coverage. Most of the algorithms applied in urban domain suffer from the lack of considering real environmental information. In this paper, the problem of placing sensors to get optimum coverage is studied by investigating the concept of urban contextual information in sensor network. Then a local GIS-based context-aware framework of sensor network deployment optimization method is introduced. Obtained results of our algorithm under different working conditions and applications show the effectiveness of our approach.

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Author information

Authors and Affiliations

  1. Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

    Meysam Argany

  2. Department of Geomatics, Faculty of Forestry, Geography, and Geomatics, Laval University, Quebec City, Canada

    Mir-Abolfazl Mostafavi

Authors
  1. Meysam Argany
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  2. Mir-Abolfazl Mostafavi
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Corresponding author

Correspondence to Meysam Argany .

Editor information

Editors and Affiliations

  1. SPIIRAS Hi-Tech Research and Development Ltd., St. Petersburg, Russia

    Vasily Popovich

  2. Department of Geography and Earth Sciences, University of North Carolina, Charlotte, NC, USA

    Jean-Claude Thill

  3. CORP - Competence Center of Urban and Regional Planning, Vienna, Austria

    Manfred Schrenk

  4. BRCM Brest, ENCEP, Institut de Recherche de L’Ecole navale, Crozon, France

    Christophe Claramunt

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Argany, M., Mostafavi, MA. (2020). Develop a GIS-Based Context-Aware Sensors Network Deployment Algorithm to Optimize Sensor Coverage in an Urban Area. In: Popovich, V., Thill, JC., Schrenk, M., Claramunt, C. (eds) Information Fusion and Intelligent Geographic Information Systems . Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-030-31608-2_13

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