• DocumentCode
    1700244
  • Title

    Multitone acoustic sensor network with mobile access: an experimental testbed

  • Author

    Sung, Yououngchul ; Yang, Zhiyu ; Tong, Lang

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    3
  • fYear
    2004
  • Firstpage
    1451
  • Abstract
    Sensor network with mobile access (SENMA) was proposed as an architecture for large scale sensor networks. With promising results in analysis and simulation, we have developed an experimental testbed for SENMA using indoor acoustic transmission. Indoor acoustic signal shows a similar propagation characteristic to radio frequency (RF) transmission in a manageable physical dimension. It shows the average attenuation with distance and fading due to multiple reflections from walls. In this paper, we describe the system design of acoustic SENMA testbed and its application. The developed system includes the basic features of SENMA such as the mobile access point(s), transmission of beacon signal, probabilistic transmission depending on channel state, and multiple access from the sensors. We use the frequency division multiple access (FDMA) in the uplink where sensors transmit acoustic tones in different frequencies. The reception models such as collision channel and signal to interference and noise ratio (SINR) model can be applied and the network performance like throughput is calculated based on the processing of the recorded sound from the sensors.
  • Keywords
    acoustic signal processing; frequency division multiple access; indoor radio; mobile radio; radio links; telecommunication channels; wireless sensor networks; Indoor acoustic signal; beacon signal; collision channel; frequency division multiple access; indoor acoustic transmission; mobile access; multitone acoustic sensor network; probabilistic transmission; radio frequency transmission; reception model; signal to interference and noise ratio model; Acoustic propagation; Acoustic sensors; Acoustic testing; Analytical models; Frequency conversion; Large-scale systems; RF signals; Radio frequency; Sensor phenomena and characterization; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2004. MILCOM 2004. 2004 IEEE
  • Print_ISBN
    0-7803-8847-X
  • Type

    conf

  • DOI
    10.1109/MILCOM.2004.1495154
  • Filename
    1495154