A Multicast Transmission Routing Protocol for Low Power Lossy Network Based IoT Ecosystem

  • D. R. GaneshEmail author
  • Kiran Kumari Patil
  • L. Suresh
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 38)


Internet of Things (IoT) emerges as one of the highest potential technologies for NextGen communication, which has exploited IPv6 routing protocol for Low Power Lossy Networks (LLNs), often called RPL to make optimal routing decision. However, exponential increase in QoS demands, delay-resilient and energy-efficient transmission in wireless communication has triggered researchers to achieve better solution. Multicast transmission has been found as a robust technique for timely and energy-efficient communication; however no significant effort is made towards exploiting its efficacy over LLNs, especially under different network conditions. With this drive, in this paper a vigorous multicast transmission protocol with dual objectives (RSSI and ETX) based parent node forwarding and selection decisions has been developed. The key robustness of the proposed model is its ability to perform multicast transmission over dynamic network condition while preserving high packet delivery ratio, low delay and packet loss ratio and better energy efficiency. Contiki - Cooja based simulation has confirmed robustness of the proposed multicast routing protocol, which recommends it to be used for LLNs- IoT communication purposes.


Multicast transmission Internet of Things Low-Power lossy networks RPL routing 


  1. 1.
    Gebhardt, J., Gotzhein, R., Igel, A., Kramer, C.: QoS multicast routing in partially mobile wireless TDMA networks.In: 2015 IEEE Global Communications Conference, San Diego, CA, pp. 1–7 (2015)Google Scholar
  2. 2.
    Afifi, H., Karl, H.: Power allocation with a wireless multi-cast aware routing for virtual network embedding. In: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, pp. 1–4, (2019)Google Scholar
  3. 3.
    Chang, W., Hou, Y., Chen, M.: A multicast routing scheme for many-to-many applications in WSNs. In: 2015 IEEE 12th International Conference on Networking, Sensing and Control, Taipei, pp. 99–104 (2015)Google Scholar
  4. 4.
    Ajibesin, A.A., Ventura, N., Murgu, A., Chan, H.A.: Data envelopment analysis with slacks model for energy efficient multicast over coded packet wireless networks. IET Sci. Meas. Technol. 8(6), 408–419 (2014)CrossRefGoogle Scholar
  5. 5.
    Lu, D., Dong, S., Jiao, D.: NKBM: a neighbor knowledge-based multicast scheme for dense wireless mesh networks. In: 2015 34th Chinese Control Conference (CCC), Hangzhou, pp. 6501–6506 (2014)Google Scholar
  6. 6.
    Leão, L., Felea, V., Guyennet, H.: Performance of geographic multicast approach on a real-life platform. In: 2019 Wireless Days (WD), Manchester, United Kingdom, pp. 1–8 (2019)Google Scholar
  7. 7.
    Tsimbalo, E., Tassi, A., Piechocki, R.J.: Reliability of multicast under random linear network coding. IEEE Trans. Commun. 66(6), 2547–2559 (2018)CrossRefGoogle Scholar
  8. 8.
    Lee, E., Park, S., Lee, J., Kim, S.: Geographic multicast protocol for mobile sinks in wireless sensor networks. IEEE Commun. Letters 15(12), 1320–1322 (2011)CrossRefGoogle Scholar
  9. 9.
    Sanchez, J.A., Ruiz, P.M., Liu, J., Stojmenovic, I.: Bandwidth-efficient geographic multicast routing protocol for wireless sensor networks. IEEE Sens. J. 7(5), 627–636 (2007)CrossRefGoogle Scholar
  10. 10.
    Tomaszewski, A., Pióro, M.: Packet routing and frame length optimization in wireless mesh networks with multicast communications. In: 2016 17th International Telecommunications Network Strategy and Planning Symposium, Montreal, QC, pp. 1–6 (2016)Google Scholar
  11. 11.
    Xie, L., Kumar, P.R.: Multisource, multidestination, multirelay wireless networks. IEEE Trans. Inf. Theory 53(10), 3586–3595 (2007)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Conti, M., Kaliyar, P., Lal, C.: REMI: a reliable and secure multicast routing protocol for iot networks. In: ARES 2017, Reggio Calabria, Italy (2017)Google Scholar
  13. 13.
    Smys, S., Bala, G.J., Jennifer, S.: Mobility management in wireless networks using power aware routing. In: 2010 International Conference on Intelligent and Advanced Systems, pp. 1–5. IEEE, 15 June 2010Google Scholar
  14. 14.
    Kumar, R.P., Smys, S.: A novel report on architecture, protocols and applications in Internet of Things (IoT). In: 2018 2nd International Conference on Inventive Systems and Control (ICISC), pp. 1156–1161. IEEE, 19 January 2018Google Scholar
  15. 15.
    Ganesh, D.R., Patil, K.K., Suresh, L.: Q-FRPML: QoS-centric fault-resilient routing protocol for mobile-WSN based low power lossy networks. Wirel. Pers. Commun. 105(267), 267–292 (2018)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Reva UniversityBangaloreIndia
  2. 2.School of Computing and ITReva UniversityBangaloreIndia
  3. 3.CI - TECHBangaloreIndia

Personalised recommendations