Title
Model, Placement Optimisation And Verification Of A Sky Surveillance Visual Sensor Network
Abstract
A visual sensor network (VSN) is a distributed system of a large number of camera nodes, which generates two dimensional data. This paper presents a model of a VSN to track large birds, such as golden eagle, in the sky. The model optimises the placement of camera nodes in VSN. A camera node is modelled as a function of lens focal length and camera sensor. The VSN provides full coverage between two altitude limits. The model can be used to minimise the number of sensor nodes for any given camera sensor, by exploring the focal lengths that fulfils both the full coverage and minimum object size requirement. For the case of large bird surveillance, 100% coverage is achieved for relevant altitudes using 20 camera nodes per km(2) for the investigated camera sensors. A real VSN is designed and measurements of VSN parameters are performed. The results obtained verify the VSN model.
Year
DOI
Venue
2013
10.1504/IJSSC.2013.056380
INTERNATIONAL JOURNAL OF SPACE-BASED AND SITUATED COMPUTING
Keywords
DocType
Volume
sensor networks, coverage, camera placement, surveillance, deployment optimisation, measurements
Journal
3
Issue
ISSN
Citations 
3
2044-4893
3
PageRank 
References 
Authors
0.42
0
6
Name
Order
Citations
PageRank
Naeem Ahmad14712.24
Muhammad Imran Shahzad2366.22
Khursheed Khursheed3436.72
Najeem Lawal47213.94
Mattias O'nils512126.67
B Oelmann67721.78