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Performance Analysis on Homogeneous LEACH and EAMMH Protocols in Wireless Sensor Network

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Abstract

Wireless sensor network establishes a network with randomly distributed sensor devices that are connected together through some types of wireless communication networks. Such sensors are responsible for recognizing the physical or environmental conditions for multi-purpose usability and ease of deployment. This network has some limitations such as prone to network failure, and limited power and capacity of sensor devices. Several routing strategies have been originated by the researchers to improve many applications for such a network. Among the routing techniques, the clustering algorithm can increase the life span and efficiency of the network. The main feature of a cluster-based network is to minimize energy dissipation and delay of the system. This paper investigates the performance of two cluster-based routing protocols namely homogeneous Energy-Aware Multi-Hop Multi-Path Hierarchical (EAMMH), and Low-Energy Adaptive Clustering Hierarchy (LEACH) routing strategies for homogeneous nodes, sink nodes, dead nodes and other common scenarios. In this research paper, we observe that LEACH works better for small networks where there is a small number of nodes, while EAMMH works better for larger networks consisting of a large number of nodes.

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References

  1. Ngangbam, R., Hossain, A., & Shukla, A. (2020). Lifetime improvement for hierarchical routing with distance and energy based threshold. In D. Hemanth, S. Shakya, & Z. Baig (Eds.), Intelligent data communication technologies and internet of things. ICICI 2019. Lecture notes on data engineering and communications technologies (Vol. 38). Cham: Springer.

  2. Hossen, M. S. (2019). DTN routing protocols on two distinct geographical regions in an opportunistic network: An analysis. Wireless Personal Communications,108(2), 839–851. https://doi.org/10.1007/s11277-019-06431-w.

    Article  Google Scholar 

  3. Sara, G. S. (2014). Routing in mobile wireless sensor network: A survey. Telecommunication Systems,57(1), 51–79. https://doi.org/10.1007/s11235-013-9766-2.

    Article  Google Scholar 

  4. Tsitsigkos, A. (2012). A case study of internet of things using wireless sensor networks and smartphones. London: Wireless Multimedia and Networking (WMN) Research Group, Kingston University London.

    Google Scholar 

  5. Jan, B. (2017). Energy efficient hierarchical clustering approaches in wireless sensor networks: A survey. Wireless Communications and Mobile Computing. https://doi.org/10.1155/2017/6457942.

    Article  Google Scholar 

  6. Singh, S. (2017). Energy efficient multilevel network model for heterogeneous WSNs. International Journal of Engineering Science and Technology,20(1), 105–115.

    Google Scholar 

  7. Elaneizi, M. (2008). Prolonging network lifetime of clustered-wireless sensor networks. ProQuest Dissertations Publishing.

  8. Engmann, F. (2018). Prolonging the lifetime of wireless sensor networks: A review of current techniques. Wireless Communications and Mobile Computing,2018, 1–23. https://doi.org/10.1155/2018/8035065.

    Article  Google Scholar 

  9. Wang, J. (2012). LEACH-based security routing protocol for WSNs advances in computer science and information. Engineering,169, 253–258. https://doi.org/10.1007/978-3-642-30223-7_41.

    Article  Google Scholar 

  10. Carlos-Mancilla, M. (2016). Wireless sensor networks formation: Approaches and techniques. Journal of Sensors,2016, 1–18. https://doi.org/10.1155/2016/2081902.

    Article  Google Scholar 

  11. Villalba, L. J. G. (2009). Routing protocols in wireless sensor networks. Sensors (Basel, Switzerland),9(11), 8399–8421. https://doi.org/10.3390/s91108399.

    Article  Google Scholar 

  12. Lee, G., Lee, M., Seok, W., Kong, J., & Byeon, O. (2006). A base station centralized simple clustering protocol for sensor networks. In E. Sha, S. K. Han, C. Z. Xu, M. H. Kim, L. T. Yang, & B. Xiao (Eds.), Embedded and ubiquitous computing. EUC 2006. Lecture notes in computer science (Vol. 4096). Berlin: Springer.

  13. Wu, X., Cho, J., d’Auriol, B. J., & Lee, S. (2007). Energy-aware routing for wireless sensor networks by AHP. In R. Obermaisser, Y. Nah, P. Puschner, & F. J. Rammig (Eds.), Software technologies for embedded and ubiquitous systems. SEUS 2007. Lecture notes in computer science (Vol. 4761). Berlin: Springer.

  14. Rhim, H., Tamine, K., Abassi, R., et al. (2018). A multi-hop graph-based approach for an energy-efficient routing protocol in wireless sensor networks. Journal of Human-Centric Computing and Information Sciences,8, 30. https://doi.org/10.1186/s13673-018-0153-6.

    Article  Google Scholar 

  15. Genta, A., Lobiyal, D. K., & Abawajy, J. H. (2019). Energy efficient multipath routing algorithm for wireless multimedia sensor network. Sensors (Basel, Switzerland),19(17), 3642. https://doi.org/10.3390/s19173642.

    Article  Google Scholar 

  16. Kong, J.-I., Kim, J.-W., & Eom, D.-S. (2014). Energy-aware distributed clustering algorithm for improving network performance in WSNs. International Journal of Distributed Sensor Networks. https://doi.org/10.1155/2014/670962.

    Article  Google Scholar 

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Acknowledgements

The authors would like to express special gratitude to the autonomous reviewers to give their valuable suggestions to improve the paper. Besides, the authors also would like to thank the Journal Editor to give his valuable time.

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Authors and Affiliations

  1. Department of Information and Communication Technology, Comilla University, Comilla, 3506, Bangladesh

    Taspia Salam & Md. Sharif Hossen

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  1. Taspia Salam
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Contributions

Both authors performed the primary literature review, data collection, experiments, and approved the final manuscript. MSH supervised the research and drafted the final manuscript.

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Correspondence to Md. Sharif Hossen.

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Salam, T., Hossen, M.S. Performance Analysis on Homogeneous LEACH and EAMMH Protocols in Wireless Sensor Network. Wireless Pers Commun 113, 189–222 (2020). https://doi.org/10.1007/s11277-020-07185-6

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