Model, placement optimization and verification of a sky surveillance visual sensor network

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 km² for the investigated camera sensors. A real VSN is designed and measurements of VSN parameters are performed. The results obtained verify the VSN model.

Imran, MuhammadMittuniversitetet,Avdelningen för elektronikkonstruktion(Swepub:miun)muhimr (author)
Khursheed, KhursheedMittuniversitetet,Avdelningen för elektronikkonstruktion(Swepub:miun)khukhu (author)
Lawal, NajeemMittuniversitetet,Avdelningen för elektronikkonstruktion(Swepub:miun)najlaw (author)
O'Nils, MattiasMittuniversitetet,Avdelningen för elektronikkonstruktion(Swepub:miun)matoni (author)
MittuniversitetetAvdelningen för elektronikkonstruktion (creator_code:org_t)

In:International Journal of Space-Based and Situated Computing (IJSSC)3:3, s. 125-1352044-48932044-4907

By the author/editor: Ahmad, Naeem; Imran, Muhammad; Khursheed, Khurs ...; Lawal, Najeem; O'Nils, Mattias

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Embedded Systems

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