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BER Evaluation of IEEE 802.15.4 Compliant Wireless Sensor Networks Under Various Fading Channels

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Abstract

This paper presents bit error rate (BER) analysis of wireless sensor networks (WSNs) consisting of sensor nodes based on an IEEE 802.15.4 RF transceiver. Closed-form expressions for BER are obtained for WSNs operating over AWGN, Rayleigh and Nakagami-m fading channels. For the purpose of analysis, we consider an IEEE 802.15.4 RF transceiver using direct sequence spread spectrum-offset quadrature phase shift keying (DSSS-OQPSK) modulation under 2.4 GHz frequency band in a WSN. Analytical expressions for BER are derived for a wireless link between sensor nodes that act as a transmitter unit and a base station without considering the effect of interferers in the wireless environment. Numerical results for BER are obtained by varying the IEEE 802.15.4 standard specific physical layer parameters, such as number of bits used to represent a Zigbee symbol, number of modulation levels used in an OQPSK modulator, and various values of Rayleigh and Nakagami-m fading parameters, denoted as \(\alpha \) and \(m\), respectively. Moreover, optimum values of physical layer parameters are identified for improved system performance. It is found that error performance analysis of WSN shows improvement when lower number of bits is used to represent a Zigbee symbol. Specifically, under a Rayleigh fading channel which reflects a real-time WSN environment, the network exhibits better performance only when it is operated at high SNR values, i.e., BER of order \(10^{-2}\) is achieved when SNR lies in the range 5–15 dB. Also, the effect of fading parameters on network performance shows that better results are obtained for higher values of \(\alpha \) and \(m\) for Rayleigh and Nakagami-m fading channels, respectively.

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References

  1. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330.

    Article  Google Scholar 

  2. Chong, C. Y., & Kumar, S. P. (2003). Sensor networks: Evolution, challanges, and opportunities. Proceedings of the IEEE, 91(8), 1247–1256.

    Article  Google Scholar 

  3. Goldsmith, A. J., & Wicker, S. B. (2002). Design challenges for energy constrained ad hoc wireless networks. IEEE Wireless Communications Magazine, 9(4), 8–27.

    Article  Google Scholar 

  4. Romer, K., & Mattern, F. (2004). The design space of wireless sensor networks. IEEE Wireless Communications Magazine, 11(6), 54–61.

    Article  Google Scholar 

  5. Yigitel, M. A., Incel, O. D., & Erzoy, C. (2011). QoS aware MAC protocols for wireless sensor networks: A survey. Computer Networks, 55(8), 1982–2004.

    Article  Google Scholar 

  6. Baronti, P., Pillai, P., Chook, V. W. C., Chessa, S., & Gotta, A. (2007). Wireless sensor networks: A survey on the state of the art and the 802.15.4 and Zigbee standards. Computer Communications, 30(7), 1655–1695.

    Article  Google Scholar 

  7. http://www.zigbee.org/.

  8. IEEE 802.15.4 version 2006, IEEE Standards Association. http://standards.ieee.org/getieee802/download/802.15.4-2003.pdf.

  9. Su, W., & Alzaghal, M. (2009). Channel propagation characteristics of wireless MICAZ sensor nodes. Adhoc Networks, 7(6), 1183–1193.

    Article  Google Scholar 

  10. Sklar, B. (1997). Rayleigh fading channels in mobile digital communication systems, Part I : Characterization. IEEE Communication Magazine, 35(7), 90–100.

    Article  Google Scholar 

  11. Durgin, G., Rappaport, T., & De Wolf, D. (2002). New analytical models and probability density functions for fading in wireless communications. IEEE Transactions on Communications, 50(6), 1005–1015.

    Article  Google Scholar 

  12. Matolak, D. W., & Frolik, J. (2011). Worse-than-Rayleigh fading: Experimental results and theoretical models. IEEE Communication Magazine, 49(4), 140–146.

    Article  Google Scholar 

  13. Islam, M. R., & Kim, J. (2008). Capacity and BER analysis for Nakagami-m channel in LDPC coded wireless sensor network. In International conference on intelligent sensors, sensor networks, and information processing, Sydney, Australia (pp. 167–172).

  14. Datta, U., Kundu, C., & Kundu, S. (2009). BER and energy level performance of layered CDMA wireless sensor netwkork in presence of correlated interferers. In IEEE International conference on wireless communication and sensor networks, IIIT Allahabad, India (pp. 1–6).

  15. Datta, U., Vardhan, V., & Kundu, S. (2009). Outage and BER of wireless sensor networks in presence of correlated interferers. In IEEE Region 10 Conference, Singapore (pp. 1–6).

  16. Balakrishnan, G., Yang, M., Jiang, Y. & Kim, Y. (2007). Performance analysis of error control codes for wireless sensor networks. In Fourth international conference on information technology, Las Vegas, Nevada, USA (pp. 876–879).

  17. Nithya, V., & Ramachandran, B. (2013). Improving network life time of wireless sensor network using LT codes under erasure environment. International Review of Computers and Software, 8(10), 2349–2355.

    Google Scholar 

  18. Nithya, V., Ramachandran, B., & Bhaskar, V. (2012). Energy and error analysis of IEEE 802.15.4 Zigbee RF transceiver under various fading channels in wireless sensor network. In International conference on advanced computing, Chennai, Tamilnadu, India (pp. 1–5).

  19. Nithya, V., Ramachandran, B., & Bhaskar, V. (2013). Energy efficient coded communication for IEEE 802.15.4 compliant wireless sensor networks. Wireless Personal Communications Journal. doi:10.1007/s11277-013-1531-z.

  20. Kaddoum, G., Richardson, F. D., & Gagnon, F. (2013). Design and analysis of a multi-carrier differential chaos shift keying communication system. IEEE Transactions on Communications, 61(8), 3281–3291.

    Article  Google Scholar 

  21. Kaddoum, G., Richardson, F. D., Adouni, S., Gagnon, F., & Thibeault, C. (2013). Multiuser multi-carrier differential chaos shift keying communication system. In International conference on wireless communications and mobile computing, Cagliari, Italy (pp. 1798–1802).

  22. Sangeetha, M., Bhaskar, V., & Cyriac, A. R. (2014). Performance analysis of downlink W-CDMA systems in Weibull, and log normal fading channels using chaotic codes. Wireless Personal Communications, 74(2), 259–283. doi:10.1007/s11277-013-1284-8.

  23. Sangeetha, M. & Bhaskar, V. (2013). Performance analysis of subspace based downlink channel estimation for W-CDMA systems using chaotic codes. Wireless Personal Communications, 71(1), 1–21. doi:10.1007/s11277-012-0793-1.

  24. Ahmad, M. R., Dutkiewicz, E., & Huang, X. (2007). BER-delay characteristics analysis of IEEE 802.15.4 wireless sensor networks with cooperative MIMO. In Asia-Pacific conference on applied electromagnetics, Melaka, Malaysia (pp. 1–5).

  25. Kohvakka, M., Kuorilehto, M., Hannikainen, M., & Hamalainen, T. D. (2006). Performance analysis of IEEE 802.15.4 and Zigbee for large-scale wireless sensor network applications. In 9th ACM/IEEE international symposium on modeling, analysis and simulation of wireless and mobile systems, Torremolinos, Spain (pp. 48–57).

  26. CC2420. http://foi.com/analog/docs/enggressdetail.tsp?familyld=367&genContentId=3573.

  27. Proakis, J. G. (2002). Digital communications (4th ed.). NY: McGraw-Hill.

    Google Scholar 

  28. Rappaport, T. S. (2010). Wireless communications: Principles and practice (2nd ed.). Upper Saddle River, NJ: Prentice Hall, Inc.

  29. Verdu, S. (1998). Multiuser detection (1st ed.). UK: Cambridge University Press.

    MATH  Google Scholar 

  30. Gradshteyn, I. S., & Ryzhik, I. M. (2001). Table of integrals, series, and products (6th ed.). London: Academic Press.

    Google Scholar 

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Correspondence to Vidhyacharan Bhaskar.

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Nithya, V., Ramachandran, B. & Bhaskar, V. BER Evaluation of IEEE 802.15.4 Compliant Wireless Sensor Networks Under Various Fading Channels. Wireless Pers Commun 77, 3105–3124 (2014). https://doi.org/10.1007/s11277-014-1698-y

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