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Fuzzy enhanced location aware secure multicast routing protocol for balancing energy and security in wireless sensor network

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Abstract

In existing schemes, there has been no analysis or steps built for balancing data integrity and energy consumption of clusters in the network, and providing security in WSN is difficult. In this research work, to overcome these troubles, we have used a Query-based Location-Aware Secure Multicast Routing for Wireless Sensor Networks (QLAMSR) is proposed to attain energy efficiency and security. There are three modules involved here. The first module is about the network model and the system overview to obtain more network lifetime. In the second module, an advanced encryption standard and RC6 algorithms is used here to provide authentication and data integrity. In the third module, efficient energy routes are established and demonstrated to illustrate network reliability. Node trust and reliable route energy efficiency are calculated to produce efficient data integrity through the idea of a fuzzy decision model. The proposed protocol is simulated with the Network Simulator tool (NS 2.34) to analyze the network performance metrics and finally its shown that proposed QLAMSR attains route energy efficiency by 39–92% and data integrity rate by 18–89(packets/sec).

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References

  1. Shi, Q., et al. (2020). Information-aware secure routing in wireless sensor networks. Sensors, 165, 1–21.

    Google Scholar 

  2. Sathiya, M., & Nandhakumar, R. (2020). An optimized multipath routing for secure communication of wireless sensor network. International Journal of Advanced Research and Technology, 8(3), 1–6.

    Google Scholar 

  3. Qureshi, K. N., Bashir, M. U., Lloret, J., & Leon, A. (2020). Optimized cluster-based dynamic energy-aware routing protocol for wireless sensor networks in agriculture precision. Journal of Sensors, 2020, 1–19.

    Article  Google Scholar 

  4. Jain, A., Jain, V., & Tripathi, K. (2020). Trust based intrusion detection system architecture for WSN. International Journal of Recent Technology and Engineering, 8(6), 700–703.

    Google Scholar 

  5. Obaidat, M. S., Dhurandher, S. K., Gupta, D., Gupta, N., & Asthana, A. (2010). DEESR: Dynamic energy efficient and secure routing protocol for wireless sensor networks in urban environments. Journal of Information Processing Systems, 6(3), 269–294.

    Article  Google Scholar 

  6. Lata, B. T., Jansi, P. K. R., Shaila, K., Sujatha, D. N., Tejaswi, V., Venugopal, K. R., & Patnaik, L. M. (2014). Secure routing using multiple domains for wireless sensor networks. International Journal of Computer Trends and Technology, 13(3), 103–112.

    Article  Google Scholar 

  7. Imrana Banu, K., & Murali, G. (2015). Controlling residual energy of WSN with secure routing protocol. International Journal of Science and Research, 5(8), 154–156.

    Google Scholar 

  8. Zare, M., & Soltanaghaei, M. (2020). A gray system theory based multi-path routing method for improving network lifetime in internet of things systems. Preprints. https://doi.org/10.20944/preprints202001.0304.v1

    Article  Google Scholar 

  9. Miglani, A., Bhatia, T., Sharma, G., & Shrivastava, G. (2017). An energy efficient and trust aware framework for secure routing in LEACH for wireless sensor networks. Scalable Computing: Practice and Experience, 18(3), 207–218.

    Google Scholar 

  10. Selvi, M., Thangaramya, K., Ganapathy, S., Kulothungan, K., Khannah Nehemiah, H., & Kannan, A. (2019). An energy aware trust based secure routing algorithm for effective communication in wireless sensor networks. Wireless Personal Communications. https://doi.org/10.1007/s11277-019-06155-x

    Article  Google Scholar 

  11. Sutagundar, A. V., & Manvi, S. S. (2013). Location aware event driven multipath routing in wireless sensor networks: Agent based approach. Egypt Information Journal, 14, 55–65.

    Google Scholar 

  12. Ngo, C. T., & Oh, H. (2014). A link quality prediction metric for location based routing protocols under shadowing and fading effects in vehicular Ad Hoc networks. Procedia Computer Science, 34, 565–570.

    Article  Google Scholar 

  13. Banerjee, A., & Ghosh, S. (2019). Weight-based energy-efficient Multicasting (WEEM) in mobile Ad Hoc networks. Procedia Computer Science, 152, 291–300.

    Article  Google Scholar 

  14. Wang, X., Liu, X., Wang, M., Nie, Y., & Bian, Y. (2019). Energy-efficient spatial query-centric geographic routing protocol in wireless sensor networks. Sensors, 19, 1–23.

    Google Scholar 

  15. Vinoth, M., & Omkumar, S. (2019). Location aware directional flooding algorithm for improving energy efficiency in MANET. International Journal of Innovative Technology and Exploring Engineering, 8(5), 363–367.

    Google Scholar 

  16. Pavani, M., & Trinatha Rao, P. (2019). Adaptive PSO with optimized firefly algorithms for secure cluster-based routing in wireless sensor networks. IET Wireless Sensor Systems, 9(5), 274–283.

    Article  Google Scholar 

  17. Mahakud, R., Rath, S., Samantary, M., Sinha, B. S., Priya, P., Nayak, A., & Kumari, A. (2016). Energy management in wireless sensor network using PEGASIS. Proceedia Computer Science, 92, 207–212.

    Article  Google Scholar 

  18. Arivubrakan, P., & Sundari, S. (2019). A Protocol based routing technique for enhancing the quality of service in multi hop wireless networks. International Journal of Innovative Technology and Exploring Engineering, 8(8), 1182–1186.

    Google Scholar 

  19. Saini, A., Kansal, A., & Randhawa, N. S. (2019). Minimization of consumption in WSN using hybrid WECRA approach. Procedia Computer Science, 155, 803–808.

    Article  Google Scholar 

  20. Manjunath, C. R., Hoover, M. T., Sushma, J., & Anand, S. (2014). Secure multicast scheme in cluster based wireless sensor network. International Journal of Engineering Research & Technology, 5(2), 66–71.

    Google Scholar 

  21. Rajasekaran, M., Ayyasamy, A., & Jebakumar, R. (2020). Performance and evaluation of location energy aware trusted distance source routing protocol for secure routing in WSNs. Indian Journal of Science and Technology, 13(39), 4092–4108.

    Article  Google Scholar 

  22. Srinivas, M. B. (2016). Cluster based energy efficient routing protocol using ANT colony optimization and breadth first search. Procedia Computer Science, 89(1), 124–133.

    Google Scholar 

  23. Kumar, T. S., & Benakop, P. G. (2021). Designing an efficient forecasting routing protocol to secure the mobile Ad Hoc network communication. Bulletin Monumental, 2(1), 192–215.

    Google Scholar 

  24. Sirajuddin, M., Rupa, C., & Iwendi, C. (2021). TBSMR: A trust-based secure multipath routing protocol for enhancing the QoS of the sensor network. Security and Communication Networks. https://doi.org/10.1155/2021/5521713

    Article  Google Scholar 

  25. Ramluckun, N., & Bassoo, V. (2018). Energy-efficient chain-cluster based intelligent routing technique for wireless sensor networks. Applied Computing and Informatics. https://doi.org/10.1016/j.aci.2018.02.004

    Article  Google Scholar 

  26. Shankar, A., & Jaisankar, N. J. P. C. S. (2016). A novel energy efficient clustering mechanism in wireless sensor network. Procedia Computer Science, Scidirect, 89, 134–141.

    Article  Google Scholar 

  27. Wang, J. (2019). Energy efficient routing algorithm with mobile sink support for wireless sensor networks. Sensors, 19(7), 1494.

    Article  Google Scholar 

  28. Ding, Q. (2021). An overview of machine learning-based energy-efficient routing algorithms in wireless sensor networks. Electronics, 10(13), 1539.

    Article  Google Scholar 

  29. Zeng, B. (2016). An improved harmony search based energy-efficient routing algorithm for wireless sensor networks. Applied Soft Computing, 41, 135–147.

    Article  Google Scholar 

  30. **ang, W. (2016). An energy-efficient routing algorithm for software-defined wireless sensor networks. IEEE Sensors Journal, 16(20), 7393–7400.

    Article  Google Scholar 

  31. Khriji, S. (2019). Energy-efficient routing algorithm based on localization and clustering techniques for agricultural applications. IEEE Aerospace and Electronic Systems Magazine, 34(3), 56–66.

    Article  Google Scholar 

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All author is contributed to the design and methodology of this study, the assessment of the outcomes and the writing of the manuscript.

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Correspondence to D. Bhanu.

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Bhanu, D., Santhosh, R. Fuzzy enhanced location aware secure multicast routing protocol for balancing energy and security in wireless sensor network. Wireless Netw (2023). https://doi.org/10.1007/s11276-023-03461-y

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