Sensors 2012, 12(11), 14647-14670; doi:10.3390/s121114647
Article

Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors

Department of Computer Information Science, Korea University, Sejong KS002, Korea
* Author to whom correspondence should be addressed.
Received: 11 July 2012; in revised form: 19 October 2012 / Accepted: 23 October 2012 / Published: 1 November 2012
(This article belongs to the Section Sensor Networks)
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Abstract: In transmitting image/video data over Video Sensor Networks (VSNs), energy consumption must be minimized while maintaining high image/video quality. Although image/video compression is well known for its efficiency and usefulness in VSNs, the excessive costs associated with encoding computation and complexity still hinder its adoption for practical use. However, it is anticipated that high-performance handheld multi-core devices will be used as VSN processing nodes in the near future. In this paper, we propose a way to improve the energy efficiency of image and video compression with multi-core processors while maintaining the image/video quality. We improve the compression efficiency at the algorithmic level or derive the optimal parameters for the combination of a machine and compression based on the tradeoff between the energy consumption and the image/video quality. Based on experimental results, we confirm that the proposed approach can improve the energy efficiency of the straightforward approach by a factor of 2~5 without compromising image/video quality.
Keywords: video sensor network; energy efficiency; multi-core processors

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MDPI and ACS Style

Lee, S.; Kim, H.; Chung, Y.; Park, D. Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors. Sensors 2012, 12, 14647-14670.

AMA Style

Lee S, Kim H, Chung Y, Park D. Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors. Sensors. 2012; 12(11):14647-14670.

Chicago/Turabian Style

Lee, Sungju; Kim, Heegon; Chung, Yongwha; Park, Daihee. 2012. "Energy Efficient Image/Video Data Transmission on Commercial Multi-Core Processors." Sensors 12, no. 11: 14647-14670.

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