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Time-shift immunity for wireless sensor network based on discrete wavelet packets

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Abstract

Wavelet-based Ultra Wide Band communications rely on receiver collecting data simultaneously from many transmitters and without interference thanks to the orthogonality between primitive wavelet packets. Nevertheless, there is a particular case for which the communication fails. Indeed, the time-shift between primitive wavelet packets results in a loss of the orthogonality of these wavelet packets. This paper proposes an asynchronous Impulse Radio-Ultra Wide Band (IR-UWB) transmission suitable in Wireless Sensor networks without any distinction between the transmitters. The originality of the proposed solution is to ensure a time-shift immunity of IR-UWB receivers by finding the unique combination of shifted primitive packets. For this purpose, finding the one zero result of successive subtractions between received and primitive packets is performed. Considering a given wavelet, the proposed solution is able to decode the shifted-mixed primitive packets from multiple transmitters whatever the time-shift between each packets.

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References

  1. Shen Y, Law CL, Hu S, Xia J (2013) IR-UWB-based chipless RFID system. Annals of telecommunications - annales des telecommunications 68(7-8):375–383

    Article  Google Scholar 

  2. Guimaraes DA, Gomes GGR (2012) Introduction to ultra-wideband impulse radio. Revista Telecomunicacoes 14(1):49–61

    Google Scholar 

  3. Lampe L, Witrisal K (2010) Challenges and recent advances in IR-UWB system design. In: Proceedings of 2010 IEEE international symposium on circuits and systems (ISCAS), pp 3288–3291

  4. Fernandes JR, Wentzloff D (2010) Recent advances in IR-UWB transceivers: an overview. In: Proceedings of 2010 IEEE international symposium on circuits and systems (ISCAS), pp 3284–3287

  5. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci et E (2002) Wireless sensor networks: a survey. Comput Netw 38(2002): 393–422

    Article  Google Scholar 

  6. Lakshmanan MK, Nikookar H (2006) A review of wavelets for digital wireless communication. Wireless Personal Communications 37(3-4):387–420

    Article  Google Scholar 

  7. Banerjee S, Jeyakumar A, Nar V (2013) Wavelet Packet modulation for mobile communication. IJERA 3(2):1016–1022

    Google Scholar 

  8. Khan U, Baig S, Mughal MJ (2009) Performance comparison of wavelet packet modulation and OFDM for multipath wireless channel. In: 2nd international conference on computer, control and communication, IC4 2009, pp 1–4

  9. Gautier M, Arndt M, Lienard J (2007) Efficient wavelet packet modulation for wireless communication. In: Telecommunications, 2007 AICT, pp 19–19

  10. Yin Z, Wang Z, Liu X, Wu Z (2014) Designof pulse waveform for waveform division multiple access UWB wireless communication system. The Scientific World Journal 2014:1–11

    Google Scholar 

  11. Youn Y, Jeon H, Jung H, Lee H (2007) Discrete wavelet packet transform based energy detector for cognitive radios. In: 2007 IEEE 65th vehicular technology conference, pp 2641–2645

  12. Hosseini H, Fisal N, Syed-Yusof SK (2010) Wavelet packet based multicarrier modulation for cognitive UWB systems. Signal Processing: an International Journal (SPIJ) 4(2):75–84

    Google Scholar 

  13. Yu L, White LB (2007) Design of complex wavelet pulses enabling PSK modulation for UWB impulse radio communications

  14. Saad W, El-Fishawy N, El-Rabaie S, Shokair M (2010) An efficient technique for OFDM system using discrete wavelet transform. In: Advances in grid and pervasive computing Springer, pp 533–541

  15. Mallat SG (1989) Multiresolution approximations and wavelet orthonormal bases of l2 (R). Transactions of the American mathematical society 315(1):69–87

    MathSciNet  MATH  Google Scholar 

  16. Selesnick IW, Baraniuk RG, Kingsbury NC (2005) The dual-tree complex wavelet transform. IEEE Signal Proc Mag 22(6): 123–151

    Article  Google Scholar 

  17. Kingsbury N (2000) A dual-tree complex wavelet transform with improved orthogonality and symmetry properties. In: Proceedings 2000 international conference on image processing (Cat. no.00CH37101) Vancouver, BC, Canada, pp 375–378, vol 2

  18. Kingsbury N (2001) Complex wavelets for shift invariant analysis and filtering of signals. Applied and Computational Harmonic Analysis 10(3):234–253

    Article  MathSciNet  Google Scholar 

  19. Kizil CH, Diou C, Tanougast C, Singer D (2016) Hardware implementation of UWB-IR transceiver and receiver based on Wavelet Packet Transform for networked bio-sensors. In: 2016 International conference on bio-engineering for smart technologies (bioSMART), Dubai United Arab Emirates, pp 1–4

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Kizil, C.H., Diou, C. & Tanougast, C. Time-shift immunity for wireless sensor network based on discrete wavelet packets. Ann. Telecommun. 76, 1–17 (2021). https://doi.org/10.1007/s12243-020-00778-z

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  • DOI: https://doi.org/10.1007/s12243-020-00778-z

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