Skip to main content

Advertisement

Log in

Improving Energy Efficiency and Reliability in WuR-Based IoT Systems: An Error Correction Approach

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Intelligent connected objects, the building blocks of IoT, represent battery supplied electronic devices. These devices are expected to be deployed in very large numbers, and manual replacement of their batteries will severely restrict their large-scale or wide area deployments. Therefore, energy efficiency is of the utmost importance in the design of the IoT devices. The wireless communication between the distributed sensor devices and the host stations can consume significant energy, even more when larger coverage is required. Ultra-low-power wake up radio (WuR) represent one of the most prominent solutions for energy efficiency in IoT. However, the WuR devices have several limitations that bound their practical applicability and usage, such as short range capabilities and low signal sensitivity. As a result, the WuR devices commonly misinterpret their wake up address and inevitably lead to overall performance degradation of the system. This work, introduces the concept of error correction codes in the wake up address. It is envisioned that the error correction codes can increase the overall robustness and sensitivity of the WuR devices. The work also analyses the potential energy efficiency gains and the energy-latency tradeoff degradation of the WuR based IoT system when utilizing the error correction codes.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Ghose, D., Li, F. Y., & Pla, V. (2018). Mac protocols for wake-up radio: Principles, modeling and performance analysis. IEEE Transactions on Industrial Informatics, 14(5), 2294–2306. https://doi.org/10.1109/TII.2018.2805321.

    Article  Google Scholar 

  2. Pegatoquet, A., Le, T. N., & Magno, M. (2019). A wake-up radio-based mac protocol for autonomous wireless sensor networks. IEEE/ACM Transactions on Networking, 27(1), 56–70. https://doi.org/10.1109/TNET.2018.2880797.

    Article  Google Scholar 

  3. Gamm, G. U., & Reindl, L. M. (2012). Range extension for wireless wake-up receivers. In International multi-conference on systems, signals devices (pp. 1–4). https://doi.org/10.1109/SSD.2012.6197952.

  4. Spenza, D., Magno, M., Basagni, S., Benini, L., Paoli, M., & Petrioli, C. (2015). Beyond duty cycling: Wake-up radio with selective awakenings for long-lived wireless sensing systems. In 2015 IEEE conference on computer communications (INFOCOM) (pp. 522–530). https://doi.org/10.1109/INFOCOM.2015.7218419.

  5. Ghose, D., Tello-Oquendo, L., Li, F. Y., & Pla, V. (2018). Lightweight relay selection in multi-hop wake-up radio enabled iot networks. In 2018 IEEE global communications conference (GLOBECOM) (pp. 1–6). https://doi.org/10.1109/GLOCOM.2018.8647449.

  6. Magno, M., Jelicic, V., Srbinovski, B., Bilas, V., Popovici, E., & Benini, L. (2016). Design, implementation, and performance evaluation of a flexible low-latency nanowatt wake-up radio receiver. IEEE Transactions on Industrial Informatics, 12(2), 633–644. https://doi.org/10.1109/TII.2016.2524982.

    Article  Google Scholar 

  7. Elgani, A., Magno, M., Renzini, F., Perilli, L., Scarselli, E. F., Gnudi, A., Canegallo, R., Ricotti, G., & Benini, L. (2018). Nanowatt wake-up radios: Discrete-components and integrated architectures. In 2018 25th IEEE international conference on electronics, circuits and systems (ICECS) (pp. 793–796). https://doi.org/10.1109/ICECS.2018.8617961.

  8. Lebreton, J. M., Kandukuri, S., Murad, N., & Lorion, R. (2016). An energy efficient duty-cycled wake-up radio protocol for avoiding overhearing in wireless sensor networks. Wireless Sensor Network, 08(08), 176–190. https://doi.org/10.4236/wsn.2016.88015.

    Article  Google Scholar 

  9. Guntupalli, L., Ghose, D., Li, F. Y., & Gidlund, M. (2018). Energy efficient consecutive packet transmissions in receiver-initiated wake-up radio enabled wsns. IEEE Sensors Journal, 18(11), 4733–4745. https://doi.org/10.1109/JSEN.2018.2825540.

    Article  Google Scholar 

  10. Cinar, H., Cibuk, M., & Erturk, I. (2019). Hmcawsn: A hybrid multi-channel allocation method for erratic delay constraint wsn applications. Computer Standards and Interfaces,. https://doi.org/10.1016/j.csi.2019.02.004.

    Article  Google Scholar 

  11. Aoudia, F., Gautier, M., & Berder, O. (2016). Opwum: Opportunistic mac protocol leveraging wake-up receivers in wsns. Journal of Sensors, 2016, 1–9.

    Article  Google Scholar 

  12. Fourati, L., El-Kaffel, S., Mnaouer, A. B., & Touati, F. (2018). Investigations on recent power-aware opportunistic protocols in wsn. In 2018 wireless days (WD) (pp. 187–189).

  13. Lee, S. H., & Choi, L. (2017). Zeromac: Toward a zero sleep delay and zero idle listening media access control protocol with ultralow power radio frequency wakeup sensor. International Journal of Distributed Sensor Networks, 13(8), 1550147717716397.

    Google Scholar 

  14. Zhang, M., Ghose, D., & Li, F. Y. (2018). Collision avoidance in wake-up radio enabled wsns: Protocol and performance evaluation. In 2018 IEEE international conference on communications (ICC) (pp. 1–6).

  15. Ghose, D., & Li, F. Y. (2017). Enabling backoff for scm wake-up radio: Protocol and modeling. IEEE Communications Letters, 21(5), 1031–1034.

    Article  Google Scholar 

  16. Sampayo, S.L., Montavont, J., Prégaldiny, F., & Noël, T. (2018). Is wake-up radio the ultimate solution to the latency-energy tradeoff in multi-hop wireless sensor networks? In 2018 14th international conference on wireless and mobile computing, networking and communications (WiMob) (pp. 1–8).

  17. Hung, S. L., Ding, J. T., & Lu, Y. C. (2019). Developing an energy-efficient and low-delay wake-up wireless sensor network-based structural health monitoring system using on-site earthquake early warning system and wake-on radio. Journal of Civil Structural Health Monitoring, 9(1), 103–115.

    Article  Google Scholar 

  18. Adamovski, R., Poposki, M., Rakovic, V., Gavrilovska, L., & Risteski, A. (2018). Performance of error correcting codes in wake-up radio wireless sensor networks. In 2018 14th international conference ETAI (pp. 1–5).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Valentin Rakovic.

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

Rakovic, V., Adamovski, R., Risteski, A. et al. Improving Energy Efficiency and Reliability in WuR-Based IoT Systems: An Error Correction Approach. Wireless Pers Commun 126, 123–134 (2022). https://doi.org/10.1007/s11277-020-07464-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-020-07464-2

Keywords

Navigation