Energy-Efficient Radio Platforms for Implementation of Nodes of Sensor Networks

  • Conference paper
  • First Online:
Road Traffic Analysis, Theoretical Approaches and Practical Solutions (TSTP 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 877))

  • 64 Accesses

Abstract

The problem of monitoring of the state of complex technical structures poses a challenge for the design of an efficient monitoring system. Technical structures such as transport systems, office spaces, manufacturing facilities usually do not provide resources for powering and wire connecting network nodes. The nodes of the system, equipped with sensors, must function autonomously. The study identifies the bottlenecks and design tradeoffs of using radio platforms such as WiFi, Bluetooth LE and sub 1GHz that have a significant impact on the sensor network’s performance and energy efficiency. The proper pairing of processor and radio is crucial for taking the full advantage of the energy efficiency. A set of guidelines for designing and implementing energy efficient nodes of sensor networks is presented.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (France)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 128.39
Price includes VAT (France)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 168.79
Price includes VAT (France)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Liu, K.S., Munir, S., Francis, J., Shelton, C., Lin, S.: Poster abstract: long term occupancy estimation in a commercial space: an empirical study. In: 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp. 307–308. IEEE, Pittsburgh, USA (2017). https://doi.org/10.1145/3055031.3055062

  2. Putri, A.K., Pramono, A., Yasmin, D.M., SafitriB, A., Zaharani, Y.S., Zebua, F.F.: The smart lighting system in the coworking space’s meeting room. In: 2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), pp. 534–538. IEEE, Jakarta, Indonesia (2022). https://doi.org/10.1109/ICIMCIS56303.2022.10017802

  3. Yusuf, M., et al.: Human sensing in reverberant environments: RF-based occupancy and fall detection in ships. IEEE Trans. Veh. Technol. 70(5), 4512–4522 (2021). https://doi.org/10.1109/TVT.2021.3069326

    Article  MathSciNet  Google Scholar 

  4. Bharadwaj, R., Parini, C., Alomainy, A.: Ultrawideband-based 3-D localization using compact base-station configurations. IEEE Antennas Wirel. Propag. Lett. 13, 221–224 (2014). https://doi.org/10.1109/LAWP.2014.2301636

    Article  Google Scholar 

  5. Numan, P.E., Park, H., Lee, J., Kim, S.: Machine learning-based joint vital signs and occupancy detection with IR-UWB sensor. IEEE Sens. J. 23(7), 7475–7482 (2023). https://doi.org/10.1109/JSEN.2023.3247728

    Article  Google Scholar 

  6. Khoche, S., Sasirekha, G., Bapat, J., Das, D.: Near real-time occupancy detection for smart building emergency management: a prototype. In: 2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), pp. 115–120. IEEE Press, Chennai, India (2020). https://doi.org/10.1109/iSES50453.2020.00035

  7. Anastasi, G., Conti, M., Di Francesco, M., Passarella, A.: Energy conservation in wireless sensor networks: a survey. Ad Hoc Netw. 7(3), 537–568 (2009). https://doi.org/10.1016/j.adhoc.2008.06.003

    Article  Google Scholar 

  8. Razzaque, M.A., Dobson, S.: Energy-efficient sensing in wireless sensor networks using compressed sensing. Sensors 14(2), 2822–2859 (2014). https://doi.org/10.3390/s140202822

    Article  Google Scholar 

  9. Martinez, B., Monton, M., Vilajosana, I., Prades, J.D.: The power of models: modeling power consumption for IoT devices. IEEE Sens. J. 15(10), 5777–5789 (2015). https://doi.org/10.1109/JSEN.2015.2445094

    Article  Google Scholar 

  10. Li, M., Li, Z., Vasilakos, A.V.: A survey on topology control in wireless sensor networks, taxonomy, comparative study, and open issues. In: 10th IEEE International Conference on Control, Automation, Robotics and Vision, pp. 251–255. IEEE Press (2008). https://doi.org/10.1109/JPROC.2013.2257631

  11. Lin, S., Zhang, J., Zhou, G., Gu, L., Stankovic, J.A., He, T.: ATPC: adaptive transmission power control for wireless sensor networks. ACM Trans. Sens. Networks 12(1), 1–31 (2006). https://doi.org/10.1145/2746342

    Article  Google Scholar 

  12. Correia, L.H., Macedo, D.F., dos Santos, A.L., Loureiro, A.A., Nogueira, J.M.S.: Transmission power control techniques for wireless sensor networks. Comput. Netw. 51, 4765–4779 (2007). https://doi.org/10.1016/j.comnet.2007.07.008

    Article  Google Scholar 

  13. **nlian, Z., Wenhao, Q.: Sensor network energy saving sleep scheduling algorithm research. In: 2014 International Conference on Information and Communications Technologies (ICT 2014), pp. 1–5. Institution of Engineering and Technology, Nan**g (2014). https://doi.org/10.1049/cp.2014.0611

  14. Khan, M.N., Rahman, H.U., Khan, M.Z.: An energy efficient adaptive scheduling scheme (EASS) for mesh grid wireless sensor networks. J Parallel Distrib Comput 146, 139–157 (2020). https://doi.org/10.1016/j.jpdc.2020.08.007

    Article  Google Scholar 

  15. Khan, M.N., Rahman, H.U., Almaiah, M.A., Khan, M.Z., Khan, A.: Improving energy efficiency with content-based adaptive and dynamic scheduling in wireless sensor networks. IEEE Access 8, 176495–176520 (2020). https://doi.org/10.1109/ACCESS.2020.3026939

    Article  Google Scholar 

  16. Muscat, A., Bhattacharya, S., Zhu, Y.: Electromagnetic vibrational energy harvesters: a review. Sensors 22(15), 1–17 (2022). https://doi.org/10.3390/s22155555

    Article  Google Scholar 

Download references

Acknowledgements

This study was conducted within the project “Properties of energy-saving radio communication platforms for the implementation of workplace occupancy sensors wireless networks”, with MWM Sp. z o.o. Sp.K.company. The work was supported by the Regional Operational Programme for the Silesian Voivodeship in 2014–2020 in the action: “Research development and innovations in enterprises”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wieslaw Pamula .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pamula, W., Stenzel, T., Sajkowski, M. (2024). Energy-Efficient Radio Platforms for Implementation of Nodes of Sensor Networks. In: Macioszek, E., Jurdana, I., Sierpiński, G. (eds) Road Traffic Analysis, Theoretical Approaches and Practical Solutions. TSTP 2023. Lecture Notes in Networks and Systems, vol 877. Springer, Cham. https://doi.org/10.1007/978-3-031-51449-4_2

Download citation

Publish with us

Policies and ethics

Navigation