Abstract
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.
Highlights
Geosensors are tiny and ingenious devices that collect data about their nearby area, and are capable of communicating with each other
The total area covered by a Wireless geoSensor Network (WSN) is obtained from the union of the regions covered by individual sensors
The coverage problem is classified into target- and area-based coverage: In some of WSN applications, detecting the target points such as building, doors, flags and boxes are desired, while in others the aim is detection of the mobile target points like intruders (Guvensan and Yavuz, 2011)
Summary
Geosensors are tiny and ingenious devices that collect data about their nearby area, and are capable of communicating with each other. The area-based coverage calculation methods are classified into: (i) the methods that consider a raster environment (Akbarzadeh et al, 2013; Argany et al, 2012; Cortés et al, 2004), which are limited by the spatial resolution; and (ii) the methods that model the environment as a vector dataset (Ghosh and Das, 2006; Guvensan and Yavuz, 2011; Ma et al, 2009; Wang and Cao, 2006, 2011), which have been mostly proposed for 2D spaces and do not consider the earth topography and human-made obstacles. We propose an approach to determine the coverage of a geosensor with directional sensing model in a 3D vector environment.
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