Exploration of local and central processing for a wireless camera based sensor node

Wireless vision sensor network is an emerging field which combines image sensor, on board computation and communication links. Compared to the traditional wireless sensor networks which operate on one dimensional data, wireless vision sensor networks operate on two dimensional data which requires bo...

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Bibliographic Details
Published inICSES 2010 International Conference on Signals and Electronic Circuits pp. 147 - 150
Main Authors Khursheed, K, Imran, M, O'Nils, M, Lawal, N
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2010
Subjects
Base stations
Cameras
Electrical engineering, electronics and photonics
Elektroteknik, elektronik och fotonik
Energy consumption
Image coding
Pixel
TECHNOLOGY
TEKNIKVETENSKAP
Wireless communication
Wireless sensor networks
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Summary:Wireless vision sensor network is an emerging field which combines image sensor, on board computation and communication links. Compared to the traditional wireless sensor networks which operate on one dimensional data, wireless vision sensor networks operate on two dimensional data which requires both higher processing power and communication bandwidth. The research focus within the field of wireless vision sensor network has been based on two different assumptions involving either sending data to the central base station without local processing or conducting all processing locally at the sensor node and transmitting only the final results. In this paper we focus on determining an optimal point for intelligence partitioning between the sensor node and the central base station and by exploring compression methods. The lifetime of the visual sensor node is predicted by evaluating the energy consumption for different levels of intelligence partitioning at the sensor node. Our results show that sending compressed images after segmentation will result in a longer life for the sensor node.
ISBN:9781424453078
1424453070
8390474344
9788390474342