文章基本信息

标题：COEVRAGE ESTIMATION OF GEOSENSOR IN 3D VECTOR ENVIRONMENTS
本地全文：下载
作者：A. Afghantoloee ; S. Doodman ; F. Karimipour 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2014
卷号：XL-2/W3
页码：1-6
DOI：10.5194/isprsarchives-XL-2-W3-1-2014
出版社：Copernicus Publications
摘要：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
关键词：Geosensor deployment; WSNs; geosensor coverage; vector data model; DSM