Ubiquitous Text Transfer Using Sound a Zero-Infrastructure Alternative for Simple Text Communication

  • Kuruvilla MathewEmail author
  • Biju Issac
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 313)


Even in these days where data networks has increased much in terms of speed, bandwidth and penetration, the need for a low power, low bandwidth, ubiquitous networks is more pronounced than ever before. As the devices get smaller, their power supply is also limited, in according to the definition of “dust”, “skin” and “clay” in the ubiquitous computing paradigm. The possibility of these devices to be present in real world depends a lot on the key capability they must possess, which is to be network enabled, ubiquitously. This paper looks at the possibility of using the ever present signal “sound” as a ubiquitous medium of communication. We are currently experimenting on various possibilities and protocols that can make use of sound for text transmission between two electronic devices and this paper looks at some attempts in this direction. The initial phase of the experiment was conducted using a very large spectrum and encoding the entire ASCII text over audible sound spectrum. This gave a very large spectrum spread requirement which a very narrow frequency gap. The experimental results showed good improvement when the frequency gap was increased.


Ubiquitous computing Network Text transmission over sound 



We thank Aleksey Surkov for the source code which uses FT for pitch detection. The source code was available at


  1. 1.
    Weiser, M. (2002). The computer for the 21st Century. IEEE Pervasive Computing, 99(1), 19–25. doi:10.1109/MPRV.2002.993141Google Scholar
  2. 2.
    Madhavapeddy, A.; Sharp, R.; Scott, D.; Tse, A.; , Audio networking: the forgotten wireless technology, Pervasive Computing, IEEE , vol.4, no.3, pp. 55- 60, July-Sept. 2005. doi: 10.1109/MPRV.2005.50Google Scholar
  3. 3.
    Chen, T. T., & Lee, M. (2008). Ubiquitous Computing in Prospect: A Bibliographic Study. 2008 International Symposium on Ubiquitous Multimedia Computing, 57–62. doi:10.1109/UMC.2008.20Google Scholar
  4. 4.
    Jurdak, R., Lopes, C. V., & Baldi, P. (n.d.). An acoustic identification scheme for location systems. The IEEE/ACS International Conference on Pervasive Services, 2004. ICPS 2004. Proceedings., 61–70. doi:10.1109/PERSER.2004.1356767Google Scholar
  5. 5.
    Madhavapeddy, A, Scott, D, & Sharp, R. (2003). Context-aware computing with sound: In the proceedings of The Fifth International Conference on Ubiquitous Computing, October 2003, 315–332.Google Scholar
  6. 6.
    Luo, H., Wang, J., Sun, Y., Ma, H., & Li, X.-Y. (2010). Adaptive Sampling and Diversity Reception in Multi-hop Wireless Audio Sensor Networks. 2010 IEEE 30th International Conference on Distributed Computing Systems, 378–387. doi:10.1109/ICDCS.2010.32Google Scholar
  7. 7.
    Chen, W., Hou, J., & Sha, L. (2004). Dynamic clustering for acoustic target tracking in wireless sensor networks. Mobile Computing, IEEE, 3(3), 258–271.
  8. 8.
    Shah, R., & Yarvis, M. (2006). Characteristics of on-body 802.15.4 networks. 2006 2nd IEEE Workshop on Wireless Mesh Networks, 138–139. doi:10.1109/WIMESH.2006.288612Google Scholar
  9. 9.
    Mandal, A., Lopes, C.V., Givargis, T., Haghighat, A., Jurdak, R., Baldi, P., , Beep: 3D indoor positioning using audible sound, Consumer Communications and Networking Conference, 2005. CCNC. 2005 Second IEEE , vol., no., pp. 348- 353, 3-6 Jan. 2005. doi: 10.1109/CCNC.2005.1405195Google Scholar
  10. 10.
    William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery, , Numerical Recipes in C: The Art of Scientific Computing, Cambridge University Press New York, NY, USA, 1992, ISBN:0521437148Google Scholar
  11. 11.
    Edwards, W. & Grinter, R., 2001. At home with ubiquitous computing: Seven challenges. Ubicomp 2001: Ubiquitous Computing, pp.256-272. URL:
  12. 12.
    Warneke, B.; Last, M.; Liebowitz, B.; Pister, K.S.J.; , "Smart Dust: communicating with a cubic-millimeter computer," Computer , vol.34, no.1, pp.44-51, Jan 2001. doi: 10.1109/2.895117 URL:
  13. 13.
    Low, K.S.; Win, W.N.N.; Er, M.J.; , "Wireless Sensor Networks for Industrial Environments," Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on , vol.2, no., pp.271-276, 28-30 Nov. 2005. doi: 10.1109/CIMCA.2005.1631480. URL: stamp/stamp.jsp?tp=&arnumber=1631480&isnumber=34212Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of Engineering, Computing and ScienceSwinburne University of Technology (Sarawak Campus)KuchingMalaysia
  2. 2.School of ComputingTeesside UniversityTees ValleyUK

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