AHV-RPL: Jamming-Resilient Backup Nodes Selection for RPL-Based Routing in Smart Grid AMI Networks

  • Taimin Zhang
  • Xiaoyu Ji
  • Wenyuan XuEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 300)


Advanced metering infrastructure (AMI) is the core component of the smart grid. As the wireless connection between smart meters in AMI is featured with high packet loss and low transmission rate, AMI is considered as a representative of the low power and lossy networks (LLNs). In such communication environment, the routing protocol in AMI network is essential to ensure the reliability and real-time of data transmission. The IPv6 routing protocol for low-power and lossy networks (RPL), proposed by IETF ROLL working group, is considered to be the best routing solution for the AMI communication environment. However, the performance of RPL can be seriously degraded due to jamming attack. In this paper, we analyze the performance degradation problem of RPL protocol under jamming attack. We propose a backup node selection mechanism based on the standard RPL protocol. The proposed mechanism chooses a predefined number of backup nodes that maximize the probability of successful transmission. We evaluation the proposed mechanism through MATLAB simulations, results show the proposed mechanism improves the performance of RPL under jamming attack prominently.


Smart grid Advanced metering infrastructure (AMI) Jamming RPL 


  1. 1.
    Ancillotti, E., Bruno, R., Conti, M.: RPL routing protocol in advanced metering infrastructures: an analysis of the unreliability problems. In: Proceedings of the Sustainable Internet and ICT for Sustainability, SustainIT, Pisa, Italy, pp. 1–10 (2012)Google Scholar
  2. 2.
    Winter, T., et al.: RPL: IPv6 routing protocol for low-power and lossy networks. IETF RFC 6550 (2012)Google Scholar
  3. 3.
    Renofio, J.R.R., Pellenz, M.E., Jamhour, E., Santin, A.O., Penna, M.C., Souza, R.D.: On the dynamics of the RPL protocol in AMI networks under jamming attacks. In: Proceedings of the IEEE International Conference on Communications, Kuala Lumpur, Malaysia, pp. 1–6. ICC (2016)Google Scholar
  4. 4.
    Pavkovic, B., Theoleyre, F., Duda, A.: Multipath opportunistic RPL routing over IEEE 802.15.4. In: Proceedings of the International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, MSWiM, Miami, Florida, USA, pp. 179–186 (2011)Google Scholar
  5. 5.
    Duquennoy, S., Landsiedel, O., Voigt, T.: Let the tree bloom: scalable opportunistic routing with ORPL. In: Proceedings of the ACM Conference on Embedded Network Sensor Systems, SenSys, Roma, Italy, pp. 2:1–2:14 (2013)Google Scholar
  6. 6.
    Tahir, Y., Yang, S., McCann, J.A.: BRPL: backpressure RPL for high-throughput and mobile iots. IEEE Trans. Mob. Comput. 17(1), 29–43 (2018)CrossRefGoogle Scholar
  7. 7.
    Mustafa, H.A., Zhang, X., Liu, Z., Xu, W., Perrig, A.: Jamming-resilient multipath routing. IEEE Trans. Depend. Secur. Comput. 9(6), 852–864 (2012)CrossRefGoogle Scholar
  8. 8.
    Gnawali, O., Levis, P.: The minimum rank with hysteresis objective function. IETF RFC 6719 (2012)Google Scholar
  9. 9.
    Ancillotti, E., Bruno, R., Conti, M.: The role of the RPL routing protocol for smart grid communications. IEEE Commun. Mag. 51(1), 75–83 (2013)CrossRefGoogle Scholar
  10. 10.
    Ropitault, T., Lampropulos, A., Pelov, A., Toutain, L., Vedantham, R., Chiummiento, P.: Doing it right - Recommendations for RPL in PLC-based networks for the Smart Grid. In: Proceedings of the IEEE International Conference on Smart Grid Communications, pp. 452–457. SmartGridComm, Venice, Italy (2014)Google Scholar
  11. 11.
    Ho, Q., 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: Proceedings of the IEEE International Conference on Communications, pp. 826–831. ICC, London, United Kingdom (2015)Google Scholar
  12. 12.
    Yang, Z., Ping, S., Sun, H., Aghvami, A.: CRB-RPL: A Receiver-Based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid. IEEE Trans. Veh. Technol. 66(7), 5985–5994 (2017)CrossRefGoogle Scholar
  13. 13.
    Lemercier, F., Montavont, N.: Performance Evaluation of a RPL Hybrid Objective Function for the Smart Grid Network. In: Proceedings of the International Conference on Ad Hoc Networks and Wireless, ADHOC-NOW, pp. 27–38. Saint-Malo, France (2018)CrossRefGoogle Scholar
  14. 14.
    Zaidi, S.A.R., Ghogho, M.: Stochastic geometric analysis of black hole attack on smart grid communication networks. In: Proceedings of the IEEE International Conference on Smart Grid Communications, SmartGridComm, Tainan, Taiwan, pp. 716–721 (2012)Google Scholar
  15. 15.
    Mayzaud, A., Badonnel, R., Chrisment, I.: A distributed monitoring strategy for detecting version number attacks in RPL-based networks. IEEE Trans. Netw. Serv. Manag. 14(2), 472–486 (2017) CrossRefGoogle Scholar
  16. 16.
    Wallgren, L., Raza, S., Voigt, T.: Routing attacks and countermeasures in the RPL-based Internet of Things. IJDSN 9(8) (2013)CrossRefGoogle Scholar
  17. 17.
    Kamgueu, P.O., Nataf, E., Djotio, T.N.: Survey on RPL enhancements: a focus on topology, security and mobility. Comput. Commun. 120, 10–21 (2018)CrossRefGoogle Scholar
  18. 18.
    Wei, X., Wang, Q., Wang, T., Fan, J.: Jammer localization in multi-hop wireless network: a comprehensive survey. IEEE Commun. Surv. Tutorials 19(2), 765–799 (2017)CrossRefGoogle Scholar
  19. 19.
    Rappaport, T.S.: Wireless Communications - Principles and Practice. Prentice Hall, Upper Saddle River (1996)zbMATHGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Zhejiang UniversityHangzhouChina

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