Image compression algorithm considering energy balance on wireless sensor networks

Phat Nguyen Huu, Vinh Tran-Quang, Takumi Miyoshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper proposes an image compression algorithm that balances energy consumption among nodes in a wireless sensor network cluster. The proposed algorithm uses a Lapped Transform technique, an extended version of the Discrete Cosine Transform. In the proposed method, the compression process is divided into several small processing components, which are then distributed to multiple nodes while considering their residual energy. The proposed scheme not only solves the energy balance problem by coordination of the processing of tasks but also reduces block noise in image compression.

Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Informatics (INDIN)
Pages1005-1010
Number of pages6
DOIs
Publication statusPublished - 2010
Event8th IEEE International Conference on Industrial Informatics, INDIN 2010 - Osaka
Duration: 2010 Jul 132010 Jul 16

Other

Other8th IEEE International Conference on Industrial Informatics, INDIN 2010
CityOsaka
Period10/7/1310/7/16

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Keywords

  • Digital image processing
  • Discrete cosine transform
  • Energy balance
  • Lapped transform
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this

Huu, P. N., Tran-Quang, V., & Miyoshi, T. (2010). Image compression algorithm considering energy balance on wireless sensor networks. In IEEE International Conference on Industrial Informatics (INDIN) (pp. 1005-1010). [5549603] https://doi.org/10.1109/INDIN.2010.5549603