GDL

Energy Efficient Data Processing in Visual Sensor Network

ISSN:0975-3826
Journal from gdlhub / 2017-08-14 11:52:33
Oleh : Harish. H. Kenchannavar, Sushma. S. Kudtarkar and U. P. Kulkarni, International Journal of Computer Science & Information Technology
Dibuat : 2012-06-26, dengan 1 file

Keyword : Surveillance, Motion Detection, Energy Consumption, Reconstruction.
Subjek : Energy Efficient Data Processing in Visual Sensor Network
Url : http://airccse.org/journal/jcsit/1010ijcsit11.pdf
Sumber pengambilan dokumen : Internet

Identifying moving objects from a video sequence is a fundamental and critical task in many computer-


vision applications. After the images are captured they must be processed and then sent to the server. In


this paper we characterize the energy consumption of a visual sensor network testbed. Each node in the


testbed consists of a “single-board computer”, equipped with a network card and a webcam. We assess


the energy consumption of activities representative of the target application (e.g., perimeter surveillance)


using a benchmark that runs (individual and combinations of) “basic” tasks such as processing, image


acquisition, and communication over the network. In our characterization, we consider the various


hardware states that the system switches through as it executes these benchmarks, e.g., different radio


modes (sleep, idle, transmission, reception), and webcam modes (off, on, and acquiring image) using


Matlab Sensor Node and Lifetime simulator. We report the energy utilized by each frame during


transmission at the server. Here we can analyze the energy consumed with processing and without


processing of video frames.

Deskripsi Alternatif :

Identifying moving objects from a video sequence is a fundamental and critical task in many computer-


vision applications. After the images are captured they must be processed and then sent to the server. In


this paper we characterize the energy consumption of a visual sensor network testbed. Each node in the


testbed consists of a “single-board computer”, equipped with a network card and a webcam. We assess


the energy consumption of activities representative of the target application (e.g., perimeter surveillance)


using a benchmark that runs (individual and combinations of) “basic” tasks such as processing, image


acquisition, and communication over the network. In our characterization, we consider the various


hardware states that the system switches through as it executes these benchmarks, e.g., different radio


modes (sleep, idle, transmission, reception), and webcam modes (off, on, and acquiring image) using


Matlab Sensor Node and Lifetime simulator. We report the energy utilized by each frame during


transmission at the server. Here we can analyze the energy consumed with processing and without


processing of video frames.

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