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An Improved Emergency Response Routing Protocol for Internet of Things

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Abstract

Due to the limited resources of Internet of Things (IoT) nodes, routing protocols for these networks should be designed in such a way that not only reduce the packet loss rate and transmission delay, but also to utilize the network resources efficiently. In an emergency, routing of emergency data on these networks requires a significant reduction in delay for timely delivery of data. Common IoT routing protocols, including SPEED, EA-SPEED, and RPL, do not differentiate between normal and emergency data. The ERGID protocol has been specifically designed to reduce end-to-end delay for emergency data. A novel emergency response routing protocol based on the ERGID is proposed in this paper to remedy the disadvantage of ERGID protocol in guaranteeing delay for emergency data. The proposed protocol meets the requirements of reliability and energy efficiency for the IoT. To achieve these goals, a prioritization mechanism is designed for emergency data that leads to more resource allocation to emergency packets and thus, reduction in transmission delay of this data. Based on the priority set at the header of the emergency packets, an exclusive route is reserved for these packets for a specified period of time to avoid congestion in emergency paths. The extensive simulations results show that the proposed routing protocol outperforms ERGID in terms of end-to-end delay and packet loss rate by 60% and 35%, respectively.

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The data used in the paper will be available upon request.

Code availability

The code will be available after obtaining persmission from the Yazd University.

References

  1. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787.

    Article  Google Scholar 

  2. Borgia, E. (2014). The internet of things vision: Key features, applications and open issues. Computer Communications, 54, 1.

    Article  Google Scholar 

  3. Airehrour, D., Gutierrez, J., & Ray, S. K. (2016). Secure routing for internet of things: A survey. Journal of Network and Computer Applications, 66, 198.

    Article  Google Scholar 

  4. Thibaud, M., Chi, H., Zhou, W., & Piramuthu, S. (2018). Internet of Things (IoT) in high-risk Environment, health and safety (EHS) industries: A comprehensive review. Decision Support Systems, 108, 79.

    Article  Google Scholar 

  5. Winter, T., Thubert, P., Brandt, A., Hui, J. W., Kelsey, R., Levis, P., et al. (2012). RPL: IPv6 Routing protocol for low-power and lossy networks. rfc, 6550, 1.

    Google Scholar 

  6. He, T., Stankovic, J. A., Lu, C., & Abdelzaher, T. (2003). SPEED: A stateless protocol for real-time communication in sensor networks. In 23rd International conference on distributed computing systems, 2003. Proceedings. IEEE, pp. 46–55.

  7. Qiu, T., Lv, Y., Xia, F., Chen, N., Wan, J., & Tolba, A. (2016). ERGID: An efficient routing protocol for emergency response Internet of Things. Journal of Network and Computer Applications, 72, 104.

    Article  Google Scholar 

  8. Ancillotti, E., Bruno, R., & Conti, M. (2014). Reliable data delivery with the IETF routing protocol for low-power and lossy networks. IEEE Transactions on Industrial Informatics, 10(3), 1864.

    Article  Google Scholar 

  9. Mohamed, B., & Mohamed, F. (2015). QoS routing RPL for low power and lossy networks. International Journal of Distributed Sensor Networks, 11(11), 971545.

    Article  Google Scholar 

  10. Iova, O., Theoleyre, F., & Noel, T. (2015). Using multiparent routing in RPL to increase the stability and the lifetime of the network. Ad Hoc Networks, 29, 45.

    Article  Google Scholar 

  11. Aissani, M., Bouznad, S., Fareb, A., & Laidoui, M. (2013). EA-SPEED: energy-aware real-time routing protocol for wireless sensor networks. International Journal of Information and Communication Technology, 5(1), 22.

    Article  Google Scholar 

  12. Felemban, E., Lee, C. G., & Ekici, E. (2006). MMSPEED: multipath Multi-SPEED protocol for QoS guarantee of reliability and Timeliness in wireless sensor networks. IEEE Transactions on Mobile Computing, 5(6), 738.

    Article  Google Scholar 

  13. Zhao, L., Kan, B., Xu, Y., & Li, X. (2007). FT-SPEED: A fault-tolerant, real-time routing protocol for wireless sensor networks. In 2007 International conference on wireless communications, networking and mobile computing. IEEE, pp. 2531–2534.

  14. Maalel, N., Natalizio, E., Bouabdallah, A., Roux, P., & Kellil, M. (2013). Reliability for emergency applications in internet of things. In 2013 IEEE International conference on distributed computing in sensor systems. IEEE, pp. 361–366.

  15. Qiu, T., Qiao, R., & Wu, D. O. (2017). EABS: An event-aware backpressure scheduling scheme for emergency Internet of Things. IEEE Transactions on Mobile Computing, 17(1), 72.

    Article  Google Scholar 

  16. Sebastian, A., & Sivagurunathan, S. (2018). Multi Sink RPL based internet of things for emergency response in smart cities. International Journal of Pure and Applied Mathematics, 118(18), 2875.

    Google Scholar 

  17. Zhu, W., Gao, D., Zhao, W., Zhang, H., & Chiang, H. P. (2018). SDN-enabled hybrid emergency message transmission architecture in internet-of-vehicles. Enterprise Information Systems, 12(4), 471.

    Article  Google Scholar 

  18. Qiu, T., Zheng, K., Han, M., Chen, C. P., & Xu, M. (2017). A data-emergency-aware scheduling scheme for internet of things in smart cities. IEEE Transactions on Industrial Informatics, 14(5), 2042.

    Article  Google Scholar 

  19. Liu, Z., & Wang, C. (2019). Design of traffic emergency response system based on internet of things and data mining in emergencies. IEEE Access, 7, 113950.

    Article  Google Scholar 

  20. Ghazi, M. U., Khattak, M. A. K., Shabir, B., Malik, A. W., & Ramzan, M. S. (2020). Emergency message dissemination in vehicular networks: A Review. IEEE Access, 8, 38606.

    Article  Google Scholar 

  21. Bideh, P. N., Paladi, N., & Hell, M. (2020). Software-defined networking for emergency traffic management in smart cities. In A. Laouiti, A. Qayyum, & M. M. Saad (Eds.), Vehicular Ad-hoc networks for smart cities (pp. 59–70). Singapore: Springer.

    Chapter  Google Scholar 

  22. Khaleghnasab, R., Bagherifard, K., Nejatian, S., Parvin, H., & Ravaei, B. (2020). A new energy-efficient multipath routing in internet of things based on gray theory. International Journal of Information Technology & Decision Making, 19(06), 1581. https://doi.org/10.1142/S0219622020500388.

    Article  Google Scholar 

  23. Menon, P., Rani, B., & Kumar, K. (2021). An effective OS-DPLL design for reducing power dissipation in an IoT application. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-021-03016-z.

    Article  Google Scholar 

  24. Zhong, X., Li, L., & Zhang, S. (2020). ECOR: An energy aware coded opportunistic routing for cognitive radio social internet of things. Wireless Personal Communiations, 110, 1. https://doi.org/10.1007/s11277-019-06708-0.

    Article  Google Scholar 

  25. Selvaraj, S., Thangarajan, R., & Saravanan, M. (2022). Trust based and optimized RPL routing in social internet of things network. In S. Shakya, R. Bestak, R. Palanisamy, & K. A. Kamel (Eds.), Mobile computing and sustainable informatics (pp. 513–529). Singapore: Springer.

    Chapter  Google Scholar 

  26. Akbari, Y., & Tabatabaei, S. (2020). A new method to find a high reliable route in IoT by using reinforcement learning and fuzzy logic. Wireless Personal Communiations, 112, 967. https://doi.org/10.1007/s11277-020-07086-8.

    Article  Google Scholar 

  27. Rishiwal, V., & Singh, O. (2021). Energy efficient emergency rescue scheme in wireless sensor networks. International Journal of Information Technology. https://doi.org/10.1007/s41870-020-00584-9.

    Article  Google Scholar 

  28. Iqbal, S., Qureshi, K. N., Kanwal, N., & Jeon, G. (2020). Collaborative energy efficient zone-based routing protocol for multihop Internet of Things. Transactions on Emerging Telecommunications Technologies. https://doi.org/10.1002/ett.3885.

    Article  Google Scholar 

  29. Ramkumar, J., & Vadivel, R. (2021). Multi-adaptive routing protocol for Internet of Things based Ad-hoc networks. Wireless Personal Communiations. https://doi.org/10.1007/s11277-021-08495-z.

    Article  Google Scholar 

  30. Gao, W., Zhao, Z., Yu, Z., Min, G., Yang, M., & Huang, W. (2020). Edge-computing-based channel allocation for deadline-driven IoT networks. IEEE Transactions on Industrial Informatics, 16(10), 6693. https://doi.org/10.1109/TII.2020.2973754.

    Article  Google Scholar 

  31. Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd annual Hawaii international conference on system sciences. IEEE, pp. 10–pp.

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Correspondence to Seyedakbar Mostafavi.

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Araghipour, A., Mostafavi, S. An Improved Emergency Response Routing Protocol for Internet of Things. Wireless Pers Commun 123, 1443–1466 (2022). https://doi.org/10.1007/s11277-021-09187-4

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  • DOI: https://doi.org/10.1007/s11277-021-09187-4

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