Skip to main content

WaterAMI - Water Automated Metering Infrastructure Based on an Energy Aware Wireless Mesh Network Communication Protocol

  • Conference paper
  • First Online:
  • 459 Accesses

Abstract

The WaterAMI is an Integrated Management of Efficiency System (IMES) of Water Distribution Networks (WDN) supported in an Automated Metering Infrastructure (AMI). It has a positive impact in energy consumption and in the water management, on one hand decreasing the water losses, on the other, by measuring and controlling water resources as well as water demand, supported in data science by predictive analytics.

The communications between devices of WaterAMI are realized through a Low Power Wide Area Network - All for Everyone - Energy Aware (LPWAN-AfE-EA), developed by CWJ Power Electronics. The AfE-EA protocol uses a mesh topology that grants the coverage of all the water infrastructure’s devices, including devices placed in building’s basements, normally not covered by other IoT communications protocols.

In order to maximize the operational performance of entire network, AfE-EA uses an efficient math algorithm that computes efficiently the Optimal Hop-Constrained Maximum Capacity Spanning Tree (OH-CMCST), which maximizes the routing path energy capacity and minimizes the number of hops of a battery-operated or energy constrained AMI’s communications network, by taking in account the strengths of radio signal links and the State of Charge (SoC) of all batteries that power the smart sensors.

The WaterAMI is already installed and in full operation in several WDNs in Portugal. Where it solved constrains of previously installed similar systems.

This publication presents the main features of AfE-EA protocol, compares with other LPWANs and briefly describes AfE-EA implementation in the first application of WaterAMI in Portugal.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Chen, M., Miao, Y., Hao, Y., Hwang, K.: Narrow band Internet of Things. IEEE Access 5, 20557–20577 (2017)

    Article  Google Scholar 

  2. Mekki, K., Bajic, E., Chaxel, F., Meyer, F.: A comparative study of LPWAN technologies for large-scale IoT deployment. ICT Express 5, 1–7 (2019)

    Article  Google Scholar 

  3. Pule, M., Yahya, A., Chuma, J.: Wireless sensor networks: a survey on monitoring water quality. J. Appl. Res. Technol. 15(6), 562–570 (2017)

    Article  Google Scholar 

  4. Zeman, K., et al.: Wireless M-Bus in industrial IoT: technology overview and prototype implementation. In: European Wireless 2017 (2017)

    Google Scholar 

  5. Northstream – WIREPAS: Massive IoT: different technologies for different needs (2017). http://northstream.se/northstreamwp/wp-content/uploads/2017/06/Massive-IoT-different-technologies-for-different-needs.pdf. Accessed 02 July 2019

  6. Ismail, D., Rahman, M., Saifullah, A.: Low-power wide-area networks: opportunities, challenges, and directions. In: Workshops ICDCN 2018: Workshops Co-located with the International Conference on Distributed Computing and Networks, Varanasi, India (2018)

    Google Scholar 

  7. Qin, Z., Li, F.Y., Li, G.Y., McCann, J.A., Ni, Q.: Low-power wide-area networks for sustainable IoT. IEEE Wirel. Commun. 26(3), 140–145 (2019)

    Article  Google Scholar 

  8. Ikpehai, A., et al.: Low-power wide area network technologies for Internet-of-Things: a comparative review. IEEE Internet Things J. 6(2), 2225–2240 (2018)

    Article  Google Scholar 

  9. Alam, M., Jan, M.A., Shu, L., He, X., Chen, Y.: Editorial: current and future trends in wireless communications protocols and technologies. Mobile Netw. Appl. 23(3), 377–381 (2018). https://doi.org/10.1007/s11036-018-1026-y

    Article  Google Scholar 

  10. Kamstrup. https://www.kamstrup.com/en-en/water-solutions/water-meter-reading/communication-technologies. Accessed 14 June 2019

  11. Tsavalos, N., Hashem, A.A.: Low Power Wide Area Network (LPWAN) Technologies for Industrial IoT Applications. SE-221 00 Lund, Sweden (2018)

    Google Scholar 

  12. Alvisi, S., et al.: Wireless middleware solutions for smart water metering. Sensors 19(19), 1853 (2019)

    Article  Google Scholar 

  13. SSTPL. https://www.sstpl.in/solution/metering/watermeter.php. Accessed 14 June 2019

  14. Sinha, R.S., Wei, Y., Hwang, S.-H.: A survey on LPWA technology: LoRa and NB-IoT. ICT Express 3, 14–21 (2017)

    Article  Google Scholar 

  15. Altice Labs: IoT cellular networks, October 2017. https://www.alticelabs.com/content/WP-IoT-Cellular-Networks.pdf. Accessed 04 July 2019

  16. Farah, E., Shahrour, I.: Smart Water for Leakage Detection: Feedback about the Use of Automated Meter Reading Technology (2017)

    Google Scholar 

  17. McKinsey Global Institute: Smart cities: digital solutions for a more livable future, June 2018. https://www.mckinsey.com/~/media/mckinsey/industries/capital%20projects%20and%20infrastructure/our%20insights/smart%20cities%20digital%20solutions%20for%20a%20more%20livable%20future/mgi-smart-cities-full-report.ashx. Accessed 04 July 2019

  18. European Commission: Water Scarcity & Droughts – 2012 Policy Review – Building blocks Non-Paper (2012). https://ec.europa.eu/environment/water/quantity/pdf/non-paper.pdf. Accessed 04 July 2019

  19. Crainic, M.S.: Overview of the current state of the art in the domain of domestic water meters Part II water meters for smart metering systems, pp. 63–83, April 2011

    Google Scholar 

  20. WAVIoT: Smart Water Metering. https://waviot.com/iot/solutions/smart-metering/smart-water-metering. Accessed 14 June 2019

  21. Itron. https://www.itron.com/emea/solutions/who-we-serve/water. Accessed 14 June 2019

  22. Kamstrup: MULTICAL® 21/flowIQ® 210x. https://www.kamstrup.com/en-en/water-solutions/smart-water-meters/multical-21. Accessed 14 June 2019

  23. Tuna, G., Gungor, V.: Energy harvesting and battery technologies for powering wireless sensor networks. In: Industrial Wireless Sensor Networks (2016)

    Google Scholar 

  24. Alrowaijeh, J.S., Hajj, M.R.: Autonomous self-powered water meter. Appl. Phys. Lett. 113(3), 033902 (2018)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexandra Vieira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vieira, A. et al. (2020). WaterAMI - Water Automated Metering Infrastructure Based on an Energy Aware Wireless Mesh Network Communication Protocol. In: Afonso, J., Monteiro, V., Pinto, J. (eds) Sustainable Energy for Smart Cities. SESC 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-030-45694-8_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-45694-8_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45693-1

  • Online ISBN: 978-3-030-45694-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics