EE-MRP: Energy Efficient Multi-Level Routing Protocol for Wireless Sensor Network

Authors

  • Lalit Kumar Tyagi Computer Science and Engineering, Banasthali Vidyapith, Tonk-Newai, Rajasthan, India
  • Anoop Kumar Computer Science and Engineering, Banasthali Vidyapith, Tonk-Newai, Rajasthan, India

Keywords:

cluster, environment, node, Energy Efficient Multilevel Routing Protocol (EE-MRP), constraint

Abstract

WSN is a collection of tiny nodes deployed in a particular area connected wirelessly to form a network and sense the data from the environment. The nodes have resource constraint property which collects the data from the environment and transmits it to the base station. Clustering is one of the efficient ways to enhance network performance. In the clustering process, one node is selected as a cluster node and all other nodes are called as cluster members. The cluster member sends data to their respective Cluster Head and then forwarded it to the sink. The proposed Energy Efficient Multilevel Routing Protocol (EE-MRP) is proposed. The network is portioned into regions and sub-regions based on the longitudinal distance from the base station. The advanced and Normal nodes are used in the network.  The election of Cluster Head depends on trust criterion and neighbor nodes as parameters. The trust in the proposed protocol is calculated using the maximum node remaining energy and minimum base station distance as a ratio. The CH-to-CH communication is performed within the network and enhances network performance.

Downloads

Download data is not yet available.

References

R. A. Sadek,“Hybrid energy aware clustered protocol for IoTheterogeneousnetwork,”Futur.Comput.InformaticsJ.,vol.3,no.2,pp.166 177,2018,doi:10.1016/j.fcij.2018.02.003.

S. Kallam, R. B. Madda, C. Y. Chen, R. Patan, and D. Cheelu, “Low energy awarecommunication process in IoT using the green computing approach,” IET Networks,vol.7,no.4, pp. 1–7,2018, doi:10.1049/iet-net.2017.0105.

R. Almadhoun, M. Kadadha, M. Alhemeiri, M. Alshehhi, and K. Salah, “A UserAuthentication Scheme of IoT Devices using Blockchain-Enabled Fog Nodes,” Proc.IEEE/ACS Int. Conf. Comput. Syst. Appl. AICCSA, vol. 2018-Novem, no. October,2019,doi:10.1109/AICCSA.2018.8612856.

V. Narayan, A. K. Daniel, and A. K. Rai, “Energy Efficient Two Tier ClusterBased Protocol for Wireless Sensor Network,” in 2020 International Conference onElectricalandElectronicsEngineering (ICE3), 2020,pp.574–579.

V. Narayan and A. K. Daniel, “A Novel Approach for Cluster Head Selection using Trust Function in WSN,” Scalable Comput. Pract. Exp., vol. 22, no. 1, pp. 1–13, 2021.

Narayan, Vipul, and A. K. Daniel. "Novel protocol for detection and optimization of overlapping coverage in wireless sensor networks." Int. J. Eng. Adv. Technol 8 (2019).

J. Oyelade et al., “Data Clustering: Algorithms and Its Applications,” Proc. - 2019 19th Int. Conf. Comput. Sci. Its Appl. ICCSA 2019, no. ii, pp. 71–81, 2019, doi: 10.1109/ICCSA.2019.000-1.

Narayan, Vipul, and A. K. Daniel. "CHHP: coverage optimization and hole healing protocol using sleep and wake-up concept for wireless sensor network." International Journal of System Assurance Engineering and Management (2022): 1- 11.

A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” IEEE Commun. Surv. Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015, doi: 10.1109/COMST.2015.2444095.

A. Yousaf, F. Ahmad, S. Hamid, and F. Khan, “Performance Comparison of Various LEACH Protocols in Wireless Sensor Networks,” Proc. - 2019 IEEE 15th Int. Colloq. Signal Process. its Appl. CSPA 2019, no. March, pp. 108–113, 2019, doi: 10.1109/CSPA.2019.8695973.

Tirusew, Simur. DESIGNING EQUAL SIZE CLUSTERS TO BALANCE ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORK ROUTING. Diss. 2020.

Pon Y. Yazid, I. Ez-zazi, M. Salhaoui, M. Arioua, E. O. Ahmed, and A. González, “Extensive Analysis of Clustered Routing Protocols ForHeteregeneous Sensor Networks,” no. July, 2019, doi: 10.4108/eai.24-4-2019.2284208.

M. M. Islam, M. A. Matin, and T. K. Mondol, “Extended Stable Election Protocol (SEP) for three-level hierarchical clustered heterogeneous WSN,” IET Conf. Publ., vol. 2012, no. 601 CP, 2012, doi: 10.1049/cp.2012.0595.

N. Mittal, “An Energy Efficient Stable Clustering Approach Using Fuzzy Type-2 Bat Flower Pollinator for Wireless Sensor Networks,” Wirel. Pers. Commun., vol. 112, no. 2, pp. 1137–1163, 2020, doi: 10.1007/s11277-020-07094-8.

W. Han, “Performance analysis for NOMA energy harvesting relaying networks with transmit antenna selection and maximal-ratio combining over nakagami-m fading,” IET Commun., vol. 10, no. 18, pp. 2687–2693, 2016, doi: 10.1049/iet- com.2016.0630.

C. Tang, “A clustering algorithm based on non uniform partition for WSNs,” Open Phys., vol. 18, no. 1, pp. 1154– 1160, 2020, doi: 10.1515/phys-2020-0192.

sM.Meddah, R. Haddad, and T. Ezzedine, “An Energy Efficient and Density control Clustering Algorithm for Wireless Sensor Network,” 2017 13th Int. Wirel. Commun. Mob. Comput. Conf. IWCMC 2017, no. June, pp. 357–364, 2017, doi: 10.1109/IWCMC.2017.7986313.

Kalla, N., & Parwekar, P. (2018). Social Group Optimization (SGO) for Clustering in Wireless Sensor Networks. In Intelligent Engineering Informatics (pp. 119-128). Springer, Singapore.

Parwekar, P., & Reddy, R. (2013, July). An efficient fuzzy localization approach in Wireless Sensor Networks. In 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). IEEE.

Maurya, S., & Daniel, A. K. (2014, February). Hybrid routing approach for heterogeneous wireless sensor networks using fuzzy logic technique. In 2014 Fourth International Conference on Advanced Computing & Communication Technologies (pp. 202-207). IEEE.

Narayan, V., Mall, P. K., Alkhayyat, A., Abhishek, K., Kumar, S., & Pandey, P. (2023). Enhance-Net: An Approach to Boost the Performance of Deep Learning Model Based on Real-Time Medical Images. Journal of Sensors, 2023.

NARAYAN, V., Daniel, A. K., & Chaturvedi, P. (2022). FGWOA: An Efficient Heuristic for Cluster Head Selection in WSN using Fuzzy based Grey Wolf Optimization Algorithm.

Irfan, D., Tang, X., Narayan, V., Mall, P. K., Srivastava, S., & Saravanan, V. (2022). Prediction of Quality Food Sale in Mart Using the AI-Based TOR Method. Journal of Food Quality, 2022.

Narayan, V., Daniel, A. K., & Rai, A. K. (2020, February). Energy efficient two tier cluster based protocol for wireless sensor network. In 2020 international conference on electrical and electronics engineering (ICE3) (pp. 574-579). IEEE.

Narayan, V., & Daniel, A. K. (2019). Novel protocol for detection and optimization of overlapping coverage in wireless sensor networks. Int. J. Eng. Adv. Technol, 8.

Mall, P. K., Singh, P. K., & Yadav, D. (2019, December). Glcm based feature extraction and medical x-ray image classification using machine learning techniques. In 2019 IEEE Conference on Information and Communication Technology (pp. 1-6). IEEE.

Srivastava, S., Yadav, R. K., Narayan, V., & Mall, P. K. (2022). An Ensemble Learning Approach For Chronic Kidney Disease Classification. Journal of Pharmaceutical Negative Results, 2401-2409.

Mall, P. K., & Singh, P. K. (2022). Explainable Deep Learning approach for Shoulder Abnormality Detection in X-Rays Dataset. International Journal of Next-Generation Computing, 13(3).

Gooda, S. K. ., Chinthamu, N. ., Selvan, S. T. ., Rajakumareswaran, V. ., & Paramasivam, G. B. . (2023). Automatic Detection of Road Cracks using EfficientNet with Residual U-Net-based Segmentation and YOLOv5-based Detection. International Journal on Recent and Innovation Trends in Computing and Communication, 11(4s), 84–91. https://doi.org/10.17762/ijritcc.v11i4s.6310

Mondal, D., & Patil, S. S. (2022). EEG Signal Classification with Machine Learning model using PCA feature selection with Modified Hilbert transformation for Brain-Computer Interface Application. Machine Learning Applications in Engineering Education and Management, 2(1), 11–19. Retrieved from http://yashikajournals.com/index.php/mlaeem/article/view/20

Mr. Dharmesh Dhabliya, M. A. P. (2019). Threats, Solution and Benefits of Secure Shell. International Journal of Control and Automation, 12(6s), 30–35.

Downloads

Published

12.07.2023

How to Cite

Tyagi, . L. K. ., & Kumar, A. . (2023). EE-MRP: Energy Efficient Multi-Level Routing Protocol for Wireless Sensor Network. International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 612–620. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3210

Issue

Vol. 11 No. 9s (2023)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.