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Minimization of Wireless Sensor Network Energy Consumption Through Optimal Modulation Scheme and Channel Coding Strategy

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Abstract

Wireless sensor networks (WSNs) are composed of sensor nodes generally powered by batteries, for which recharging or replacement is difficult. Since battery technology has not progressed as rapidly as semiconductor technology, energy efficiency has become increasingly important in WSN. On the other hand, data exchanged between nodes are vulnerable to corruption by errors induced by random noise, signal fading and other factors. Therefore, improving link reliability and reducing energy consumption are prime concerns in the design of wireless sensor networks. In this context, performing optimal modulation schemes with suitable channel coding process is a crucial task at the physical layer of this class of networks. This paper investigates the best modulation strategy to minimize the total energy consumption required to send a given number of bits. Energy consumption with both uncoded and coded modulation techniques including M-ary QAM (MQAM), M-ary PSK (MPSK), M-ary FSK (MFSK) and MSK is analytically analyzed and simulated over transmission time, modulation rate and transmission distance. A comparative analysis in terms of energy consumption and probability of Bit Error Rate (BER) referring to MSK modulation with proper Error Control Codes (ECC) approach is presented in this paper. We show that the gain achieved with coded MSK scheme is very promising for obtaining optimal energy network consumption.

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References

  1. Sohraby, K., Minoli, D., & Znati, T. (2007). Wireless sensor networks technology protocols and applications. Hoboken: Wiley.

    Google Scholar 

  2. Hac, A. (2003). Wireless sensor network design: Wiley.

  3. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, 40(8), 102–114.

  4. Anane, R., Raoof, K, & Bouallegue, R. (2014). Optimal modulation scheme for energy efficient wireless sensor networks. In 10th International Conference on Wireless Communications Networking and Mobile Computing (WICOM14), pp. 500–507, Beijing, September 26–28.

  5. Shih, E., Cho, S., Lee, F.S., Calhoun, B.H., & Chandrakasan, A. (2004). Design considerations for energy-efficient radios in wireless microsensor networks. Journal of VLSI Signal Processing, 37(1), 77–94.

  6. Islam, M.R. (2002). Error correction codes in wireless sensor networks: an energy aware approach. IEEE Communications Magazine, 4(1), 59.

  7. Costa, F.M., & Ochiai, H. (2010). A comparison of modulations for energy optimization in wireless sensor network links.

  8. Angelin, A., Revathi, B., Gayathri, T., & Balakumaran, D. (2014). Channel coding in WSN for energy optimization. International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering, 3, 7873–7878.

    Google Scholar 

  9. Zarei, B., Muthukkumarasay, V., & Wu, X.-W. (2013). A residual error control scheme in single-hop wireless sensor networks.

  10. Yang, K., & Yang, L. (2012). Adaptive modulation and coding for two-way amplify-and-forward relay networks. In Proceedings of ieee international conference on communications, China.

  11. Kumar, S., & Gupta, R. (2011). Bit error rate analysis of reedsolomon code for efficient communication system. International Journal of Computer Applications, 30(12), 11–15.

  12. Proakis, J.G. (2000). Digital communications, 4th ed. New York: McGrawHill.

    MATH  Google Scholar 

  13. Rappaport, T.S. (2002). Wireless communications principles and practice, 2nd edn., chapter 1 and 6.

  14. Patil, A.P., Sharanya, B., Dinesh Kumar, M.P., & Malavika, J. (2013). Design and implementation of combined energy metric. International Journal of Computer and Electrical Engineering, 5(1), 9–13.

  15. Kumar, S., & Gupta, R. (2011). Bit error rate analysis of Reed-Solomon code for efficient communication system. International Journal of Computer Applications, 30(12), 0975–8887.

    Google Scholar 

  16. Hamming, R.W. (1950). Error detecting and error correcting codes, (Vol. 29 p. 147160).

  17. Peterson, W., & Weldon, E. Jr. (1972). Error-correcting codes, 2nd Edition: The Massachusetts Institute of Technology.

  18. Shih, E., Cho, S.H., Ickes, N., & Min, R. (2001). Physical layer driven protocol algorithm design for energy efficient. Italy: Wireless Sensor Networks, MOBICOM’01.

  19. Prommak, C., & Modhirun, S. (2011). Optimal wireless sensor network design for efficient energy utilization. Singapore: Advanced Information Networking and Applications (WAINA).

    Book  Google Scholar 

  20. Sklar, B. (2001). Digital communications: fundamentals and applications, 2nd ed.

  21. MATLAB, version 7.14, www.mathworks.com/simulink, (Release 2012).

  22. Sharma, O.H., Sachan, V.K., Imam, S.A., & Monika (2012). Optimisation of energy efficiency in wireless sensor networks using error control codes. IEEE Engineering and Systems (SCES).

Download references

Acknowledgment

This work was supported in part by Laboratory of Acoustics at University of Maine, LAUM UMR CNRS n 6613, France and Laboratory Innov’COM of Higher School of Telecommunication, University of Carthage Tunisia.

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Correspondence to Rajoua Anane.

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Anane, R., Raoof, K. & Bouallegue, R. Minimization of Wireless Sensor Network Energy Consumption Through Optimal Modulation Scheme and Channel Coding Strategy. J Sign Process Syst 83, 65–81 (2016). https://doi.org/10.1007/s11265-015-1039-8

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  • DOI: https://doi.org/10.1007/s11265-015-1039-8

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