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Energy Efficient Routing in Wirelss Sensor Network for Moving Nodes Using Moth Flame Algorithm Compared with Vector Based Routing

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Advanced Communication and Intelligent Systems (ICACIS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1749))

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Abstract

Aim: In this chapter energy efficient routing in wireless sensor networks for moving nodes using the Novel Moth Flame Algorithm compared with vector-based routing. This comparative analysis of energy-efficient routing with Novel Mouth Flame method and the Vector based routing protocol is carried out in NS 2 software with ten samples for each technique. The results show that efficient routing in a wireless sensor network for moving nodes, the novel Mouth flame algorithm achieves better energy consumption, delay, and packet delivery ratio when compared to the Vector based routing protocol. Statistical analysis also adds the value to the obtained results with significant value of 0.028 which is Pā€‰<ā€‰0.05. The novel Mouth flame algorithm performs algorithm identifies a set of routes that can satisfy the delay constraints and proves that is better than the Vector based Routing Protocol for energy efficient routing in a wireless sensor network for moving nodes.

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References

  1. Sandhya, R., Sai, R.: Sai Sandhya, Sri Padmavati Mahila Visvavidyalayam, School of Engineering and Technology, Padmavati Nagar, Tirupati, Andhra Pradesh, and INDIA. Trusted and Energy Efficient Routing Protocol for Heterogeneous Wireless Sensor Networks. Int. J. Eng. Comput. Sci. (2016). https://doi.org/10.18535/ijecs/v5i10.64

  2. Kandris, D., Nakas, C., Vomvas, D., Koulouras, G.: Applications of wireless sensor networks: an up-to-date survey. Appl. Syst. Innov. (2020). https://doi.org/10.3390/asi3010014

  3. Bhanu Teja, N., Devarajan, Y., Mishra, R., Sivasaravanan, S., Thanikaivel Murugan, D.: Detailed analysis on sterculia foetida kernel oil as renewable fuel in compression ignition engine. Biomass Convers. Biorefinery (2021). https://doi.org/10.1007/s13399-021-01328-w

  4. Wahid, A., Lee, S., Kim, D.: A reliable and energy-efficient routing protocol for underwater wireless sensor networks. Int. J. Commun. Syst. (2014). https://doi.org/10.1002/dac.2455

  5. Preethi, K., Auxzilia, K.A., Preethi, G.L., Sekar, D.: Antagomir technology in the treatment of different types of cancer. Epigenomics (2021). https://doi.org/10.2217/epi-2020-0439

  6. Zhu, C., Zheng, C., Shu, L., Han, G.: A survey on coverage and connectivity issues in wireless sensor networks. J. Netw. Comput. Appl. (2012). https://doi.org/10.1016/j.jnca.2011.11.016

  7. Kong, L., Zhu, Y., Wu, M.-Y., Shu, W.: Mobile barrier coverage for dynamic objects in wireless sensor networks. In: 2012 IEEE 9th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2012) (2012). https://doi.org/10.1109/mass.2012.6502499

  8. Banerjee, A., et al.: Building of efficient communication system in smart city using wireless sensor network through hybrid optimization technique. In: Piuri, V., Shaw, R.N., Ghosh, A., Islam, R. (eds.) AI and IoT for Smart City Applications. SCI, vol. 1002, pp. 15ā€“30. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-7498-3_2

    ChapterĀ  Google ScholarĀ 

  9. Karthigadevi, G., et al.: Chemico-nanotreatment methods for the removal of persistent organic pollutants and xenobiotics in water - a review. Biores. Technol. 324, 124678 (2021)

    ArticleĀ  Google ScholarĀ 

  10. Banerjee, A., et al.: Construction of effective wireless sensor network for smart communication using modified ant colony optimization technique. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds.) Advanced Computing and Intelligent Technologies. LNNS, vol. 218, pp. 269ā€“278. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-2164-2_22

    ChapterĀ  Google ScholarĀ 

  11. Rajawat, A.S., Barhanpurkar, K., Shaw, R.N., Ghosh, A.: Risk detection in wireless body sensor networks for health monitoring using hybrid deep learning. In: Mekhilef, S., Favorskaya, M., Pandey, R.K., Shaw, R.N. (eds.) Innovations in Electrical and Electronic Engineering. LNEE, vol. 756, pp. 683ā€“696. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-0749-3_54

    ChapterĀ  Google ScholarĀ 

  12. Paul, A., Sinha, S., Shaw, R.N., Ghosh, A.: A neuro-fuzzy based IDS for internet-integrated WSN. In: Bansal, J.C., Paprzycki, M., Bianchini, M., Das, S. (eds.) Computationally Intelligent Systems and their Applications. SCI, vol. 950, pp. 71ā€“86. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-0407-2_6

    ChapterĀ  Google ScholarĀ 

  13. Rao, P.C.S., Jana, P.K., Banka, H.: A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks. Wireless Netw. 23(7), 2005ā€“2020 (2016). https://doi.org/10.1007/s11276-016-1270-7

    ArticleĀ  Google ScholarĀ 

  14. Shanmugam, V., et al.: Circular economy in biocomposite development: state-of-the-art, challenges and emerging trends. Compos. Part C Open Access 5, 100138 (2021)

    Google ScholarĀ 

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Kumar, R.L.P., Vijayalakshmi (2023). Energy Efficient Routing in Wirelss Sensor Network for Moving Nodes Using Moth Flame Algorithm Compared with Vector Based Routing. In: Shaw, R.N., Paprzycki, M., Ghosh, A. (eds) Advanced Communication and Intelligent Systems. ICACIS 2022. Communications in Computer and Information Science, vol 1749. Springer, Cham. https://doi.org/10.1007/978-3-031-25088-0_19

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  • DOI: https://doi.org/10.1007/978-3-031-25088-0_19

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