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An energy-efficient compression scheme for wireless multimedia sensor networks

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Abstract

In this paper, we propose an energy-efficient compression scheme for wireless multimedia sensor networks. To do this, we analyze the characteristics of multimedia data under the environment of wireless multimedia sensor networks. First, this paper proposes a multimedia sensor data compression scheme based on the Chinese Remainder Theorem by considering the limited resources and restriction of the sensor networks. The proposed scheme utilizes the Chinese Remainder Theorem that is performed based on the modular operation in a category of basic arithmetic operations for data compression. Moreover, for the maximization of compression efficiency, it uses a pre-processing algorithm that consists of dynamic area extraction and bit-plane deletion before conducting the compression scheme. To show the superiority of our scheme, we compare the existing multimedia data compression scheme with our compression scheme. Our experimental results show that our proposed scheme increases compression ratio while reducing the number of compression operations compared to the existing compression scheme.

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Acknowledgments

This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2015-H8501-15-1013) supervised by the IITP(Institute for Information & communication Technology Promotion), by the ICT R&D program of MSIP/IITP. [B0101-15-0266, Development of High Performance Visual BigData Discovery Platform for Large-Scale Realtime Data Analysis], and by “Human Resources Program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea. (No. 20144030200450)

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Authors and Affiliations

  1. Deparment of Electronic Commerce, Chonnam National University, Yeosu, South Korea

    Yong-Min Kim

  2. Agency for Defense Development, Daejeon, South Korea

    Junho Park

  3. School of Information and Communication Engineering, Chungbuk National University, Cheongju, South Korea

    Jongtae Lim & Jaesoo Yoo

  4. Department of Information and Communication Engineering, Chungbuk National University, Cheongju, South Korea

    Jaesoo Yoo

Authors
  1. Yong-Min Kim
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  2. Junho Park
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  3. Jongtae Lim
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  4. Jaesoo Yoo
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Correspondence to Jaesoo Yoo.

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Kim, YM., Park, J., Lim, J. et al. An energy-efficient compression scheme for wireless multimedia sensor networks. Multimed Tools Appl 76, 19707–19722 (2017). https://doi.org/10.1007/s11042-016-3440-0

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  • DOI: https://doi.org/10.1007/s11042-016-3440-0

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