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Performance Evaluation of RPL Routing Protocol for IoT Based Power Distribution Network

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 828)

Abstract

Power distribution automation plays an important role in the smart grid world. With the development of Internet of Things (IoT) technology and fog computing capability, real time streaming analytics and efficient monitoring of the grid is possible. So towards this an IoT based Power Distribution system integrated with Fog been proposed. 6LoWPAN which is IPv6 over Low Power Personal Area network been integrated into smart meters, pole transformer Intelligent Electronic Devices (IEDs) and distribution line sensors of the IoT based system for transmitting data wirelessly using 6LoWPAN communication network to fog which acts as a 6LoWPAN gateway.

Now for efficient transmission of data from 6LoWPAN devices to fog for analysis, there is a need to look into efficient routing protocol for efficient power distribution. Routing Protocol for Low power Lossy Networks (RPL) is the most standard routing protocol been used in 6LoWPAN network.

So now for efficient distribution of power using IoT Technologies employing 6LoWPAN network, we here have evaluated the RPL routing protocol for a small area in a town with fog router as the 6LoWPAN gateway in real time. The system been evaluated for a real time situation of power distribution network for varying transmission range and number of nodes. Also the system been evaluated by changing the position of fog router to a center point of the area where maximum network efficiency is achieved. These been simulated using Cooja Network simulator running on Contiki OS.

Keywords

Power distribution Automation Smart grids Fog computing Sensors Wireless sensor networks 

References

  1. 1.
    Tom, R.J., Sankaranarayanan, S.: IoT based SCADA integrated with fog for power distribution automation. In: 12th Iberian Conference Information Systems Technologies, Lisbon, Portugal, pp. 1772–1775 (2017)Google Scholar
  2. 2.
    Garcia-Hernandez, J.: Recent progress in the implementation of AMI projects: standards and communications technologies. In: Proceedings of 2015 International Conference Mechatronics, Electron Automotive Engineering, ICMEAE 2015, pp. 251–256 (2016).  https://doi.org/10.1109/icmeae.2015.43
  3. 3.
    Winter, T., Thubert, P., Kelsey, R.: IPv6 Routing Protocol for Low-Power and Lossy Networks [RFC 6550] (2012)Google Scholar
  4. 4.
    Saad, L., Chauvenet, C., Tourancheau, B.: Simulation of the RPL routing protocol for IPv6 sensor networks: two cases studies. In: Fifth International Conference Sensor Technologies Applications, pp. 128–133 (2011)Google Scholar
  5. 5.
    Elkadeem, M.R., Azmy, A.M.: Optimal automation level for reliability improvement and self-healing MV distribution networks (2016)Google Scholar
  6. 6.
    Watteyne, T., Berkeley, U.C., Winter, T., Barthel, D.: Routing Requirements for Urban Low-Power and Lossy Networks, RFC 5548, pp. 1–21 (2009)Google Scholar
  7. 7.
    Buron, J., Brandt, A., Porcu, G.: Rfc 5826: Home Automation Routing Requirements in Low-Power and Lossy Networks, pp. 1–17 (2010)Google Scholar
  8. 8.
    Popa, D., Monden, K., Toutain, L., Hui, J., Gillmore, M., Ruben, R.: Applicability Statement for the Routing Protocol for Low Power and Lossy Networks (RPL) in AMI Networks, pp. 1–25 (2017). Draft-Ietf-Roll-Applicability-Ami-09Google Scholar
  9. 9.
    Clausen, T., Herberg, U., Philipp, M.: A critical evaluation of the IPv6 routing protocol for low power and lossy networks (RPL). In: International Conference Wireless Mobile Computing Networking Communications, pp. 365–372 (2011).  https://doi.org/10.1109/wimob.2011.6085374
  10. 10.
    Kulkarni, P., Gormus, S., Fan, Z., Ramos, F.: AMI mesh networks—a practical solution and its performance evaluation. IEEE Trans. Smart Grid 3, 1469–1481 (2012).  https://doi.org/10.1109/TSG.2012.2205023CrossRefGoogle Scholar
  11. 11.
    Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., McCann, J., Leung, K.: A survey on the IETF protocol suite for the internet of things: standards, challenges, and opportunities. IEEE Wirel. Commun. 20, 91–98 (2013).  https://doi.org/10.1109/MWC.2013.6704479CrossRefGoogle Scholar
  12. 12.
    Bush, S.F.: Network theory and smart grid distribution automation. IEEE J. Sel. Areas Commun. 32, 1451–1459 (2014).  https://doi.org/10.1109/JSAC.2014.2332132CrossRefGoogle Scholar
  13. 13.
    Ha, M., Kwon, K., Kim, D., Kong, P.Y.: Dynamic and distributed load balancing scheme in multi-gateway based 6LoWPAN. In: Proceedings of 2014 IEEE International Conference Internet Things, iThings 2014, 2014 IEEE International Conference Green Comput Communications GreenCom 2014, 2014 IEEE International Conference Cyber-Physical-Social Computing CPS 20, pp. 87–94 (2014).  https://doi.org/10.1109/ithings.2014.22
  14. 14.
    Zhang, T., Li, X.: Evaluating and analyzing the performance of RPL in contiki. In: Proceedings of First International Workshop Mobile Sensing, Computing Communication, pp. 19–24 (2014).  https://doi.org/10.1145/2633675.2633678
  15. 15.
    Kim, H.S., Im, H., Lee, M.S., Paek, J., Bahk, S.: A measurement study of TCP over RPL in low-power and lossy networks. J. Commun. Netw. 17, 647–655 (2015).  https://doi.org/10.1109/JCN.2015.000111CrossRefGoogle Scholar
  16. 16.
    Ghaleb, B., Al-dubai, A., Ekonomou, E., Wadhaj, I.: A new enhanced RPL based routing for internet of things. In: ICC2017 WS06-Convergent Internet Things- Synergy IoT Systems, pp. 1–6 (2017)Google Scholar
  17. 17.
    Kermajani, H., Gomez, C.: On the network convergence process in RPL over IEEE 802.15.4 multihop networks: improvement and trade-offs. Sens. (Switz.) 14, 11993–12022 (2014).  https://doi.org/10.3390/s140711993CrossRefGoogle Scholar
  18. 18.
    Kiraly, C., Istomin, T., Iova, O., Picco, G.P.: D-RPL: overcoming memory limitations in RPL point-to-multipoint routing. In: Proceedings of Conference Local Computer Networks, LCN, 26–29 October 2015, pp. 157–160 (2015).  https://doi.org/10.1109/lcn.2015.7366295
  19. 19.
    Han, D., Gnawali, O.: Performance of RPL under wireless interference. IEEE Commun. Mag. 51, 137–143 (2013).  https://doi.org/10.1109/MCOM.2013.6685769CrossRefGoogle Scholar
  20. 20.
    Ancillotti, E., Bruno, R., Conti, M.: Reliable data delivery with the IETF routing protocol for low-power and lossy networks. IEEE Trans. Ind. Inform. 10, 1864–1877 (2014).  https://doi.org/10.1109/TII.2014.2332117CrossRefGoogle Scholar
  21. 21.
    Wang, D., Tao, Z., Zhang, J., Abouzeid, A.A.: RPL based routing for advanced metering infrastructure in smart grid. In: 2010 IEEE International Conference Communications Workshops, pp. 1–6 (2010).  https://doi.org/10.1109/iccw.2010.5503924
  22. 22.
    Ho, Q.D., Gao, Y., Rajalingham, G., Le-Ngoc, T.: Robustness of the routing protocol for low-power and lossy networks (RPL) in smart grid’s neighbor-area networks. In: IEEE International Conference Communications, September 2015, pp. 826–831 (2015).  https://doi.org/10.1109/icc.2015.7248424

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.SRM UniversityChennaiIndia

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