Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 1-6, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W3/1/2014/
doi:10.5194/isprsarchives-XL-2-W3-1-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
21 Oct 2014
COEVRAGE ESTIMATION OF GEOSENSOR IN 3D VECTOR ENVIRONMENTS
A. Afghantoloee1, S. Doodman1, F. Karimipour1, and M. A. Mostafavi2 1Department of Surveying and Geomatic Engineering, College of Engineering, University of Tehran, Tehran, Iran
2Center for Research in Geomatics, Department of Geomatics, University of Laval, Quebec, Canada
Keywords: Geosensor deployment, WSNs, geosensor coverage, vector data model, DSM Abstract. Sensor deployment optimization to achieve the maximum spatial coverage is one of the main issues in Wireless geoSensor Networks (WSN). The model of the environment is an imperative parameter that influences the accuracy of geosensor coverage. In most of recent studies, the environment has been modeled by Digital Surface Model (DSM). However, the advances in technology to collect 3D vector data at different levels, especially in urban models can enhance the quality of geosensor deployment in order to achieve more accurate coverage estimations. This paper proposes an approach to calculate the geosensor coverage in 3D vector environments. The approach is applied on some case studies and compared with DSM based methods.
Conference paper (PDF, 2249 KB)


Citation: Afghantoloee, A., Doodman, S., Karimipour, F., and Mostafavi, M. A.: COEVRAGE ESTIMATION OF GEOSENSOR IN 3D VECTOR ENVIRONMENTS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 1-6, doi:10.5194/isprsarchives-XL-2-W3-1-2014, 2014.

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