• DocumentCode
    2233833
  • Title

    Digital watermarking technique in vehicle identification using wireless sensor Networks

  • Author

    Padmavathi, G. ; Shanmugapriya, D. ; Kalaivani, M.

  • Author_Institution
    Dept. of Comput. Sci., Avinashilingam Univ. for Women, Coimbatore, India
  • Volume
    2
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    Wireless Sensor networks (WSN) is an emerging technology and have great potential to be employed in critical situations like battlefields and commercial applications such as building, traffic surveillance, habitat monitoring and smart homes and many more scenarios. This paper discusses about digital watermarking technique in vehicle acoustic signals for vehicle identification using Wireless Sensor Networks. Vehicle identification means, identifying the category of the vehicle. The assumed category here may be friend or foe. The Digital Watermarking technique has been introduced to make the vehicle acoustic signals authenticated. The vehicle acoustic signals belong to the friend category are authenticated using digital watermarking technique and the signals are embedded into digital watermarking technique to represent it uniquely. Here the step by step process of embedding the digital watermarking technique is discussed along with the results. Once the embedding of the digital watermarking technique is done, the resultant signals are further used for vehicle identification or classification.
  • Keywords
    acoustic signal detection; mobile computing; watermarking; wireless sensor networks; digital watermarking technique; vehicle acoustic signals; vehicle identification; wireless sensor networks; Noise reduction; Vehicles; Wireless sensor networks; digital watermarking; vehicle acoustic signal; vehicle identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579797
  • Filename
    5579797