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http://dx.doi.org/10.22937/IJCSNS.2022.22.1.35

Optimizing Network Lifetime of RPL Based IOT Networks Using Neural Network Based Cuckoo Search Algorithm  

Prakash, P. Jaya (Department of CSE, JNTUA University Ananthapuramu)
Lalitha, B. (JNTUA University College of Engineering, JNTUA Ananthapuramu)
Publication Information
International Journal of Computer Science & Network Security / v.22, no.1, 2022 , pp. 255-261 More about this Journal
Abstract
Routing Protocol for Low-Power and Lossy Networks (RPLs) in Internet of Things (IoT) is currently one of the most popular wireless technologies for sensor communication. RPLs are typically designed for specialized applications, such as monitoring or tracking, in either indoor or outdoor conditions, where battery capacity is a major concern. Several routing techniques have been proposed in recent years to address this issue. Nevertheless, the expansion of the network lifetime in consideration of the sensors' capacities remains an outstanding question. In this research, aANN-CUCKOO based optimization technique is applied to obtain a more efficient and dependable energy efficient solution in IOT-RPL. The proposed method uses time constraints to minimise the distance between source and sink with the objective of a low-cost path. By considering the mobility of the nodes, the technique outperformed with an efficiency of 98% compared with other methods. MATLAB software is used to simulate the proposed model.
Keywords
RPL; ANN-CUCKOO; IoT; low-cost path; sensors; energy efficiency;
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1 Jadoon, R. N., Awan, A. A., Khan, M. A., Zhou, W., & Malik, A. N. (2020). PACR: Position-Aware Protocol for Connectivity Restoration in Mobile Sensor Networks. Wireless Communications and Mobile Computing, 2020.
2 Walters, J. P., Liang, Z., Shi, W., & Chaudhary, V. (2007). Wireless sensor network security: A survey. In Security in distributed, grid, mobile, and pervasive computing (pp. 367-409). Auerbach Publications.
3 Nandy, T., Idris, M. Y. I. B., Noor, R. M., Kiah, L. M., Lun, L. S., Juma'at, N. B. A., ... & Bhattacharyya, S. (2019). Review on security of Internet of Things authentication mechanism. IEEE Access, 7, 151054-151089.   DOI
4 Heinzelman, W. R., Chandrakasan, A., &Balakrishnan, H. (2000, January). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd annual Hawaii international conference on system sciences (pp. 10-pp). IEEE.
5 Raghunathan, V., Schurgers, C., Park, S., & Srivastava, M. B. (2002). Energy-aware wireless microsensor networks. IEEE Signal processing magazine, 19(2), 40-50.   DOI
6 Srivastava, A., & Mishra, P. K. (2021). A Survey on RPL Issues with its Heuristics and Meta-Heuristics Solutions. Wireless Personal Communications, 121(1), 745-814.   DOI
7 Ji, S., Yuan, S. F., & Cui, M. M. (2009, August). Using self-organizing map in backbone formation for Routing Protocol for Low-Power and Lossy Networks. In 2009 Fifth International Conference on Natural Computation (Vol. 3, pp. 468-472). IEEE.
8 Li, F., Wang, D., Wang, Y., Yu, X., Wu, N., Yu, J., & Zhou, H. (2020). Wireless communications and mobile computing blockchain-based trust management in distributed internet of things. Wireless Communications and Mobile Computing, 2020.
9 Khan, L. U. (2017). Visible light communication: Applications, architecture, standardization and research challenges. Digital Communications and Networks, 3(2), 78-88.   DOI
10 Desai, V. S., &Mohanty, R. (2018, October). ANN-Cuckoo optimization technique to predict software cost estimation. In 2018 Conference on Information and Communication Technology (CICT) (pp. 1-6). IEEE.
11 Kirubasri, G. (2021). A Contemporary Survey on Clustering Techniques for Routing Protocol for Low-Power and Lossy Networks. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), 5917-5927.
12 Carlos-Mancilla, M., Lopez-Mellado, E., &Siller, M. (2016). Routing Protocol for Low-Power and Lossy Networks formation: approaches and techniques. Journal of Sensors, 2016.
13 Ryu, J. H., Irfan, M., & Reyaz, A. (2015). A review on sensor network issues and robotics. Journal of Sensors, 2015.
14 Singh, K., &Awasthi, A. (2013). Quality, reliability, security and robustness in heterogeneous networks. Berlin, Germany: Springer.
15 Huang, R., Ma, L., Zhai, G., He, J., Chu, X., & Yan, H. (2020). Resilient routing mechanism for Routing Protocol for Low-Power and Lossy Networks with deep learning link reliability prediction. IEEE Access, 8, 64857-64872.   DOI
16 Kevin, P., &Viely, D. (2021). Critical Evaluation on RPLs Positioning Methods. International Journal of Innovative Research in Computer Science & Technology (IJIRCST).
17 Kazerooni, A. A., Jelodar, H., &Aramideh, J. (2015). Leach and heed clustering algorithms in Routing Protocol for Low-Power and Lossy Networks: a qualitative study. Advances in Science and Technology. Research Journal, 9(25).
18 Kunzel, G., Indrusiak, L. S., & Pereira, C. E. (2019). Latency and lifetime enhancements in industrial Routing Protocol for Low-Power and Lossy Networks: A q-learning approach for graph routing. IEEE Transactions on Industrial Informatics, 16(8), 5617-5625.   DOI
19 Knightson, K. G., Knowles, T., &Larmouth, J. (1987). Standards for open systems interconnection. McGrawHill, Inc..
20 Mazunga, F., &Nechibvute, A. (2021). Ultra-low power techniques in energy harvesting Routing Protocol for Low-Power and Lossy Networks: Recent advances and issues. Scientific African, e00720.
21 Daanoune, I., Abdennaceur, B., &Ballouk, A. (2021). A comprehensive survey on LEACH-based clustering routing protocols in Routing Protocol for Low-Power and Lossy Networks. Ad Hoc Networks, 102409.
22 Wang, Q., Hempstead, M., & Yang, W. (2006, September). A realistic power consumption model for wireless sensor network devices. In 2006 3rd annual IEEE communications society on sensor and ad hoc communications and networks (Vol. 1, pp. 286-295). IEEE.
23 Heinzelman, W. B., Chandrakasan, A. P., &Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on wireless communications, 1(4), 660-670.   DOI
24 Langendoen, K., &Halkes, G. (2005). Energy-efficient medium access control. Embedded systems handbook, 6000, 34-1.
25 Hoang, D. B., &Kamyabpour, N. (2012, December). An energy driven architecture for Routing Protocol for Low-Power and Lossy Networks. In 2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies (pp. 10-15). IEEE.