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Energy usage analysis of digital modulations in wireless sensor networks with realistic battery model

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Abstract

A wireless sensor network is a collection of tiny sensor nodes that are deployed to monitor a physical environment. These sensor nodes are generally powered by non-renewable batteries and maybe deployed in harsh environment. Thus, energy resource is precious that makes protocols design for this kind of networks a crucial challenge. Especially, in physical layer, orthogonal modulations as PPM or FSK are suitable. The commonly used models to investigate the network lifetime are based on a linear battery discharge. Really, the battery discharge is closely bonded to the discharge current, and typically is non-linear. This paper presents a performance analysis of both PPM and FSK modulations used in battery powered wireless sensor node. A Rakhmatov–Vrudhula–Wallach model is used to evaluate the used battery charge for a given instantaneous current load. By numerical results, it is proved that PPM modulation outperforms FSK one in term of battery charge use for different network density and for different M-ary signaling schemes.

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References

  1. Nguyen, L. T., Defago, X., Beuran, R., & Shinoda, Y. (2008). An energy efficient routing scheme for mobile wireless sensor networks. In IEEE/ISWCS (pp. 568–572).

  2. Yrjola, J. (2005). Summary of energy efficiency communication protocol for wireless micro sensor networks. In T-79.194 seminar on theoretical computer science. Helsinki University of Technology.

  3. Chandrakasan, A., Amirtharajah, R., Cho, S., Goodman, J., Konduri, G., Rabiner, W., & Wang, A. (1999). Design considerations for distributed micro-sensor systems. In Proceedings of the IEEE 1999 custom integrated circuits conference (CICC’99) (pp. 279–286). San Diego, CA, USA.

  4. Estrin, D., Girod, L., Pottie, G., & Srivastava, M. (2001). Instrumenting the world with wireless sensor networks. In Proceedings of the IEEE international conference on acoustics, speech and signal processing (ICASSP 2001), vol. 4 (pp. 2033–2036). Salt Lake City, Utah, USA.

  5. Estrin, D., Govindan, R., Heidemann, J., & Kumar, S. (1999). Next century challenges: Scalable coordination in sensor networks. In Proceedings of the 5th annual ACM/IEEE international conference on mobile computing and networking (MobiCom’99) (pp. 263–270). Seattle Washington, USA.

  6. Martin, T. (1999). Balancing batteries, power, and performance: System issues in CPU speed-setting for mobile computing. Ph.D. Dissertation, August 1999.

  7. Qu, F., Yang, L., & Swami, A. (2007). Battery power efficiency of PPM and OOK in wireless sensor networks. In Proceedings of the acoustics, speech and signal processing, 2007. ICASSP 2007 (pp. III-525–III-528).

  8. Tang, Q., Yang, L., Giannakis, G. B., & Qin, T. (2007). Battery power efficiency of PPM and FSK in wireless sensor networks. IEEE Transactions on Wireless Communications, 6(4), 1308–1319.

    Article  Google Scholar 

  9. Duan, D., Qu, F., Yang, L., Swami, A., & Principe, J. C. (2010). Modulation selection from a battery power efficiency perspective. IEEE Transactions on Communications, 58(7), 1907–1911.

    Article  Google Scholar 

  10. Pedram, M., & Wu, Q. (2002). Battery-powered digital CMOS design. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 10(5), 601–607.

    Article  Google Scholar 

  11. Jongerden, M. R., & Haverkort, B. R. (2009). Which battery model to use? IET Software, 3(6), 445–457.

    Article  Google Scholar 

  12. Doyle, M., Fuller, T. F., & Newman, J. (1993). Modeling of galvano static charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical Society, 140(6), 1526–1533.

    Article  Google Scholar 

  13. Fuller, T., Doyle, M., & Newman, J. (1994). Simulation and optimization of the dual lithium ion insertion cell. Journal of the Electrochemical Society, 141(1), 1–10.

    Article  Google Scholar 

  14. Chen, M., & Rincon-Mora, G. A. (2006). Accurate electrical battery model capable of predicting runtime and I–V performance. IEEE Transactions on Energy Conversion, 21(2), 504–511.

    Article  Google Scholar 

  15. Chiasserini, C., & Rao, R. (1999). Pulsed battery discharge in communication devices. In Proceedings of the 5th annual ACM/IEEE international conference on mobile computing and networking (pp. 88–95).

  16. Rakhmatov, D., Vrudhula, S., & Chakrabarti, C. (2002). Battery- conscious task sequencing for portable devices including voltage/clock scaling. In Proceedings of the 39th annual design automation conference (DAC) (pp. 189–194). June 2002.

  17. Zhang, Fumin, & Shi, Zhenwu (2009). Optimal and adaptive battery discharge strategies for cyber-physical systems. In Proceedings of the 48th IEEE conference on decision and control, 2009 held jointly with the 2009 28th Chinese control conference. CDC/CCC 2009 (pp. 6232–6237). 15–18 Dec. 2009.

  18. Chau, Chi-Kin, Qin, Fei, Sayed, S., Wahab, M. H., & Yang, Yang. (2010). Harnessing battery recovery effect in wireless sensor networks: Experiments and analysis. IEEE Journal on Selected Areas in Communications, 28(7), 1222–1232.

    Article  Google Scholar 

  19. Rakhmatov, D., & Vrudhula, S. (2003). Energy management for battery-powered embedded systems. ACM Transactions on Embedded Computing Systems, 2(3), 277–324.

  20. Rao, R., & Vrudhula, S. (2005). Battery optimization vs energy optimization: Which to choose and when?. In IEEE/ACM international conference on computer-aided design, 2005. ICCAD-2005 (pp. 439–445). 6–10 Nov 2005.

  21. Zheng, N., Wu, Z., Lin, M., & Wang, Q. (2008). An iterative computation method for interpreting and extending an analytical battery model. Journal of Zhejiang University SCIENCE A., 9(2), 279–288.

    Article  MATH  Google Scholar 

  22. Schwartz, J.D., Azaña, J., Zicha, N., & Plant, D.V. (2009). Design and analysis of a compact UWB pulse generator with programmable pulse shape. In IEEE international conference on ultra-wideband. ICUWB-2009 (pp. 38–42). Sep 2009.

  23. Ye, W., Heidemann, J., & Estrin, D. (2004). Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Transactions on Networking, 12(3), 493–506.

    Article  Google Scholar 

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Correspondence to Ouadoudi Zytoune.

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Zytoune, O., Aboutajdine, D. Energy usage analysis of digital modulations in wireless sensor networks with realistic battery model. Wireless Netw 22, 2713–2725 (2016). https://doi.org/10.1007/s11276-015-1115-9

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