Energy-constrained quality optimization for secure image transmission in wireless sensor networks

  • Authors:

  • Wei Wang;Dongming Peng;Honggang Wang;Hamid Sharif;Hsiao-Hwa Chen

  • Affiliations:

  • Faculty of Computer and Electronics Engineering, University of Nebraska-Lincoln, Omaha, NE;Faculty of Computer and Electronics Engineering, University of Nebraska-Lincoln, Omaha, NE;Faculty of Computer and Electronics Engineering, University of Nebraska-Lincoln, Omaha, NE;Faculty of Computer and Electronics Engineering, University of Nebraska-Lincoln, Omaha, NE;Institute of Communication Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan

  • Venue:
  • Advances in Multimedia
  • Year:
  • 2007

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Abstract

Resource allocation for multimedia selective encryption and energy efficient transmission has not been fully investigated in literature for wireless sensor networks (WSNs). In this article, we propose a new cross-layer approach to optimize selectively encrypted image transmission quality in WSNs with strict energy constraint. A new selective image encryption approach favorable for unequal error protection (UEP) is proposed, which reduces encryption overhead considerably by controlling the structure of image bitstreams. Also, a novel cross-layer UEP scheme based on cipher-plain-text diversity is studied. In this UEP scheme, resources are unequally and optimally allocated in the encrypted bitstream structure, including data position information and magnitude value information. Simulation studies demonstrate that the proposed approach can simultaneously achieve improved image quality and assured energy efficiency with secure transmissions over WSNs.