Battery Recovery-Aware Optimization for Embedded System Communications | Wireless Personal Communications Skip to main content
Springer Nature Link
Log in

Battery Recovery-Aware Optimization for Embedded System Communications

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper, we consider a point-to-point wireless communications for embedded battery powered systems. We aim to provide an optimal use of all the usable capacity inside the battery before it becomes exhausted. For this purpose, we exploit the recovery effect to extend their lifetime. We consider a stochastic battery model and use both dynamic programming and reinforcement learning approaches to compute optimal transmission policies for wireless sensor networks. The obtained results show that the expected total transmitted data and the battery lifetime are maximized when all the charge units inside the battery are consumed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787–2805.

    Article  Google Scholar 

  2. Goldsmith, A. (2005). Wireless communications (1st ed.). Cambridge: Cambridge University Press.

    Book  Google Scholar 

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

  4. Bennis, I., Zytoune, O., Aboutajdine, D., & Fouchal, H. (2013). Low energy geographical routing protocol for wireless multimedia sensor networks. In 9th international wireless communications and mobile computing conference (IWCMC), 2013. IEEE (pp. 585–589).

  5. Dbibih, I., Zytoune, O., & Aboutajdine, D. (2014). On/off markov model based energy-delay aware mac protocol for wireless sensor network. Wireless Personal Communications, 78(2), 1143–1155.

    Article  Google Scholar 

  6. Zytoune, O., & Aboutajdine, D. (2016). Energy usage analysis of digital modulations in wireless sensor networks with realistic battery model. Wireless Networks, 22(8), 2713–2725.

    Article  Google Scholar 

  7. Sharma, M. K., & Murthy, C. R. (2017). On the design of dual energy harvesting communication links with retransmission. IEEE Transactions on Wireless Communications, 16, 4079–4093.

    Article  Google Scholar 

  8. Vullers, R. J., Van Schaijk, R., Visser, H. J., Penders, J., & Van Hoof, C. (2010). Energy harvesting for autonomous wireless sensor networks. IEEE Solid-State Circuits Magazine, 2(2), 29–38.

    Article  Google Scholar 

  9. Assaouy, M., Zytoune, O., & Aboutajdine, D. (2017). DP and RL approach optimization for embedded system communications with energy harvesting, I4CS 2017, CCIS 717 (pp. 167–182).

  10. Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction. Cambridge, MA: MIT Press.

    MATH  Google Scholar 

  11. Kaelbling, L. Pack, Littman, M. L., & Moore, A. W. (1996). Reinforcement learning: A survey. Journal of Artificial Intelligence Research, 4, 237–285.

    Article  Google Scholar 

  12. Chiasserini, C. F., & Rao, R. R. (1999). Pulsed battery discharge in communication devices. In Proceedings MobiCom, Seattle, WA.

  13. Chau, C.-K., Qin, F., Sayed, S., Wahab, M. H., & Yang, Y. (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 

  14. He, L., Meng, G., Gu, Y., Liu, C., Sun, J., Zhu, T., et al. (2017). Battery-aware mobile data service. IEEE Transactions on Mobile Computing, 16, 1544–1558.

    Article  Google Scholar 

  15. Chiasserini, C. F., & Rao, R. R. (2001). Improving battery performance by using traffic shaping techniques. IEEE Journal on Selected Areas in Communications, 19(7), 1385–1394.

    Article  Google Scholar 

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

    Article  Google Scholar 

  17. Chiasserini, C. F., & Rao, R. R. (1999). A model for battery pulsed discharge with recovery effect. In Wireless communications and networking conference (pp. 636–639).

  18. Papoulis, A. (1965). Probability, random variables, and stochastic processes. New York.

  19. Mansour, Y., & Singh, S. (1999). On the complexity of policy iteration. In Proceedings of the 15th international conference on uncertainty in AI, Stockholm, SE (pp. 401–408).

  20. IEEE 802.15.4e Draft Standard: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs), IEEE Standards, March 2010.

  21. Galindo-Serrano, A., Giupponi, L., & Dohler, M. (2010). Cognition and docition in OFDMA-based femtocell networks. In IEEE Globecomm, Miami, Florida, USA (pp. 6–10).

Download references

Author information

Authors and Affiliations

  1. LRIT - CNRST URAC 29, Rabat IT Center, Mohammed V University, Rabat, Morocco

    Mohammed Assaouy & Mohamed Ouadou

  2. System Engineering Lab. (LGS), Ibn Tofail University, Kenitra, Morocco

    Ouadoudi Zytoune

Authors
  1. Mohammed Assaouy
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Ouadoudi Zytoune
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Mohamed Ouadou
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Mohammed Assaouy.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Assaouy, M., Zytoune, O. & Ouadou, M. Battery Recovery-Aware Optimization for Embedded System Communications. Wireless Pers Commun 110, 1929–1946 (2020). https://doi.org/10.1007/s11277-019-06820-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06820-1

Keywords