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Wireless M-BUS: An Attractive M2M Technology for 5G-Grade Home Automation

  • Conference paper
Book cover Internet of Things. IoT Infrastructures (IoT360 2015)

Abstract

The aggressive introduction of new smart devices for households is considered today as one of the most challenging issues in the Internet of Things (IoT) world. According to the wide variety of radio technologies used for communication between smart devices, there is a growing need to answer the question of which communication standard can be used to drive communication in smart homes and intelligent buildings as part of the emerging 5G ecosystem. To this end, we provide in this paper a performance analysis of Wireless M-BUS communication protocol which has recently increased its popularity especially in smart-metering domain in Western Europe. First, the developed WM-BUS module in Network Simulator 3 (NS-3) is described. Further, we investigate in detail the obtained simulation results which are compared with the real data from Kamstrup smart metering devices. Especially, the attention is focused on the packet delivery ratio and interference between smart devices. In particular, we demonstrate that our constructed module provides adequate correlation between the results obtained from the simulation and those from real-world measurements.

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Notes

  1. 1.

    The aggregation point for smart devices based on different communication technologies is often called Machine Type Communication Gateway (MTCG). The smart devices are then described as Machine Type Communication Devices (MTCDs).

  2. 2.

    Description of proposed module structure is given in our previous work [26].

  3. 3.

    For the purpose of our work, the threshold was set to \(-100\) dBm.

  4. 4.

    The tool for downloading the real data from meters was developed in parallel with this research work; the geographical positions of meters, repeaters and concentrators, as well as signal levels and packet delivery (data hit) rates for each pair (concentrator-meter) were obtained and processed.

References

  1. Cisco Visual Networking Index, Global mobile data traffic forecast update, 2014–2019, White Paper, February 2015

    Google Scholar 

  2. Condoluci, M., Dohler, M., Araniti, G., Molinaro, A., Zheng, K.: Toward 5G densenets: architectural advances for effective machine-type communications over femtocells. IEEE Commun. Mag. 53(1), 134–141 (2015). doi:10.1109/MCOM.2015.7010526

    Article  Google Scholar 

  3. Niyato, D., Xiao, L., Wang, P.: Machine-to-machine communications for home energy management system in smart grid. IEEE Commun. Mag. 49(4), 53–59 (2011)

    Article  Google Scholar 

  4. Masek, P., Hosek, J., Kovac, D., Kropfl, F.: M2M gateway: the centerpiece of future home. In: 2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). St. Petersburg, Russia, pp. 286–293 (2014). ISBN: 978-1-4799-5290-8

    Google Scholar 

  5. Di Fazio, A.R., Erseghe, T., Ghiani, E., Murroni, M., Siano, P., Silvestro, F.: Integration of renewable energy sources, energy storage systems, and electrical vehicles with smart power distribution networks. J. Ambient Intell. Hum. Comput. 4(6), 663–671 (2013)

    Article  Google Scholar 

  6. AllSeen Alliance. https://allseenalliance.org/

  7. Home Gateway initiative (HGi). http://www.homegatewayinitiative.org/

  8. Home Gateway initiative (HGi), Requirements for wireless home area networks(WHANS) supporting smart home services. http://bit.ly/1JlAFIC

  9. EN 13757-4:2005: Communication systems for meters and remote reading of meters- Part 4: Wireless meter readout (Radio meter reading for operation in the 868 MHz to 870 MHz SRD band)

    Google Scholar 

  10. Hosek, J., Masek, P., Ries, M., Kovac, D., Bartl, M., Kropfl, F.: Use case study on embedded systems serving as smart home gateways. In: Recent Advances in Circuits, Systems, Automatic Control. Budapest: EUROPMENT, pp. 310–315 (2013). ISBN: 978-960-474-349-0

    Google Scholar 

  11. Hosek, J., Masek, P., Kovac, D., Ries, M., Kropfl, F.: Universal smart energy communication platform. In: 2014 International Conference on Intelligent Green Building, Smart Grid (IGBSG), pp. 1–4. IEEE, Taipei (2014). ISBN: 9781467361217

    Google Scholar 

  12. Austria Telekom Group. http://www.telekomaustria.com/

  13. Kamstrup. https://www.kamstrup.com/en-uk/

  14. Gomez, C., Paradells, J.: Wireless home automation networks: a survey of architectures and technologies. IEEE Commun. Mag. 48(6), 92–101 (2010). IEEE

    Article  Google Scholar 

  15. Ferrari, G., Medagliani, P., Di Piazza, S., Martalo, M.: Wireless sensor networks: performance analysis in indoor scenarios. EURASIP J. Wirel. Commun. Netw. 2007, 41–55 (2007)

    Google Scholar 

  16. Souryal, M., Gentile, C., Griffith, D., Cypher, D., Golmie, N.: A methodology to evaluate wireless technologies for the smart grid. In: Proceedings of the 1st IEEE International Conference on Smart Grid Communications (SmartGridComm), October 2010

    Google Scholar 

  17. Godfrey, T., Rodine, C.: Unified metrics for management of smart grid home area networks. In: Proceedings of the IEEE International Conference on Communications (ICC), May 2010

    Google Scholar 

  18. Han, D.-M., Lim, J.-H.: Design and implementation of smart home energy management systems based on ZigBee. IEEE Trans. Consum. Electron. 56(3), 1417–1425 (2010)

    Article  Google Scholar 

  19. Gill, K., Yang, S.-H., Yao, F., Lu, X.: A ZigBee-based home automation system. IEEE Trans. Consum. Electron. 55(2), 422–430 (2009)

    Article  Google Scholar 

  20. Gungor, V.C., Lu, B., Hancke, G.P.: Opportunities and challenges of wireless sensor networks in smart grid. IEEE Trans. Ind. Electron. 57(10), 3557–3564 (2010)

    Article  Google Scholar 

  21. Fang, S., Berber, S., Swain, A., Rehman, S.U.: A study on DSSS transceivers using OQPSK modulation by IEEE 802.15.4 in AWGN and flat Rayleigh fading channels. In: Proceedings of the TENCON 2010–2010 IEEE Region 10 Conference

    Google Scholar 

  22. Fang, S., Berber, S., Swain, A.K.: Energy consumption evaluations of cluster-based sensor nodes with IEEE 802.15.4 transceiver in flat Rayleigh fading channel. In: Proceedings of the Wireless Communications & Signal Process (2009)

    Google Scholar 

  23. Yi, P., Iwayemi, A., Zhou, C.: Developing ZigBee deployment guideline under WiFi interference for smart grid applications. IEEE Trans. Smart Grid 2(1), 110–120 (2011)

    Article  Google Scholar 

  24. Shuaib, K., Alsnuaimi, M., Boulmalf, M., Jawhar, I., Sallabi, F., Lakas, A.: Performance evaluation of IEEE 802.15.4: experimental and simulation results. J. Commun. 2(4), 29–37 (2007)

    Article  Google Scholar 

  25. Chowdhury, K.R., Akyildiz, I.F.: Interferer classification, channel selection and transmission adaptation for wireless sensor networks. In: Proceedings of the IEEE International Conference on Communications (ICC), June 2009

    Google Scholar 

  26. Kuder, Z., Jacobsen, R.-M.: Feasibility of wireless M-Bus protocol simulation. Elektrorevue 3(3), 57–63 (2012)

    Google Scholar 

  27. Kamstrup, Mulical 21 Data Sheet. http://kamstrup.com/media/16541/file.pdf

  28. Junseok, K.: Simple CSMA/CA Protocol for NS-3, 17 Oct 2011. http://www2.engr.arizona.edu/junseok/simple_wireless.html

  29. Andersen, J.-B., Rappaport, T.-S., Yoshida, S.: Propagation measurements and models for wireless communications channels. IEEE Commun. Mag. 33(1), 42–49 (1995)

    Article  Google Scholar 

  30. Network Simulator 3: Discrete-event network simulator. http://www.nsnam.org

  31. GitHub, Wireless M-BUS module for NS-3. https://github.com/xmasek12/WM-BUS-module-NS-3

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Acknowledgment

Research described in this paper was financed by the National Sustainability Program under grant LO1401. For the research, infrastructure of the SIX Center was used.

We would like to thank to Kamstrup [13] for access to measured data and insight into the protocol and its real-life usage.

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Correspondence to Jiri Hosek .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Masek, P. et al. (2016). Wireless M-BUS: An Attractive M2M Technology for 5G-Grade Home Automation. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-47063-4_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47062-7

  • Online ISBN: 978-3-319-47063-4

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