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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLII-1-11-2018</article-id>
<title-group>
<article-title>DEVELOP A GIS-BASED CONTEXT-AWARE SENSOR NETWORK DEPLOYMENT ALGORITHM TO OPTIMIZE SENSOR COVERAGE IN AN URBAN AREA</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Argany</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mostafavi</surname>
<given-names>M.-A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Remote Sensing &amp; GIS, Faculty of Geography, University of Tehran, Tehran, Iran</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Geomatics, Faculty of Forestry, Geography, and Geomatics, Laval University, Quebec, Canada</addr-line>
</aff>
<pub-date pub-type="epub">
<day>26</day>
<month>09</month>
<year>2018</year>
</pub-date>
<volume>XLII-1</volume>
<fpage>11</fpage>
<lpage>17</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2018 M. Argany</copyright-statement>
<copyright-year>2018</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-1/11/2018/isprs-archives-XLII-1-11-2018.html">This article is available from https://isprs-archives.copernicus.org/articles/XLII-1/11/2018/isprs-archives-XLII-1-11-2018.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLII-1/11/2018/isprs-archives-XLII-1-11-2018.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-1/11/2018/isprs-archives-XLII-1-11-2018.pdf</self-uri>
<abstract>
<p>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.</p>
</abstract>
<counts><page-count count="7"/></counts>
</article-meta>
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