Cluster Based Energy Efficient Routing Protocol using SA-LEACH to Wireless Sensor Networks

Sudhakar Chekuri; B N Bhandari

doi:10.17485/IJST/v16i7.425

Article

Cluster Based Energy Efficient Routing Protocol using SA-LEACH to Wireless Sensor Networks

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v16i7.425

Year: 2023, Volume: 16, Issue: 7, Pages: 492-500

Original Article

Cluster Based Energy Efficient Routing Protocol using SA-LEACH to Wireless Sensor Networks

Sudhakar Chekuri^1*, B N Bhandari²

¹Research Scholar, Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, India
²Professor, Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, India

*Corresponding Author
Email: [email protected]

Received Date:06 March 2022, Accepted Date:19 January 2023, Published Date:21 February 2023

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

Abstract

Objectives: To develop an energy efficient routing protocol using SA-LEACH to Wireless Sensor Networks (WSN). Methods: The Simulated Annealing (SA) and LEACH algorithms are used to optimize the energy and maximize the active period of the network nodes. Here, initially the selection of the cluster head will be chosen by LEACH protocol; however, it is further investigated by SA algorithm to get better neighboring node (if exist) when compared with the selected one cluster head. Findings: There is an improvement in the throughput by 5.25%, 30% when compared with EE-LEACH and LEACH algorithms respectively. Also, energy is improved by 11.11% and 23.07% when compared to EE-LEACH and LEACH respectively. The performance of the designed algorithm has well suited for Coal mine industry, in which large number of sensor nodes is deployed to monitor the situation of the coal mine, continuously. Novelty: The designed algorithm is simple and effective. Furthermore, the proposed approach can enhance the rural healthcare monitoring system.

Keywords: WSNs; Energy Optimization; LEACH Protocol; SA; Routing; MATLAB

References

Radhika S, Rangarajan P. On improving the lifespan of wireless sensor networks with fuzzy based clustering and machine learning based data reduction. Applied Soft Computing. 2019;83:105610. Available from: https://doi.org/10.1016/j.asoc.2019.105610
Jagan GC, Jayarin PJ. Wireless Sensor Network Cluster Head Selection and Short Routing Using Energy Efficient ElectroStatic Discharge Algorithm. Journal of Engineering. 2022;2022:1–10. Available from: https://doi.org/10.1155/2022/8429285
Satyanarayana P, Mahalakshmi T, Rao PRK, Sheeba A, Ravi J, Rao JN. Enhancement of Energy Efficiency and Network Lifetime Using Modified MPCT Algorithm in Wireless Sensor Networks. Journal of Interconnection Networks. 2022;22:2144012. Available from: https://doi.org/10.1142/S0219265921440126
Mohan P, Subramani N, Alotaibi Y, Alghamdi S, Khalaf OI, Ulaganathan S. Improved Metaheuristics-Based Clustering with Multihop Routing Protocol for Underwater Wireless Sensor Networks. Sensors. 1618;22(4):1618. Available from: https://doi.org/10.3390/s22041618
Subramani N, Mohan P, Alotaibi Y, Alghamdi S, Khalaf OI. An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks. Sensors. 2022;22(2):415. Available from: https://doi.org/10.3390/s22020415
Yadav A, Kumar S, Vijendra S. Network Life Time Analysis of WSNs Using Particle Swarm Optimization. Procedia Computer Science. 2018;132:805–815. Available from: https://doi.org/10.1016/j.procs.2018.05.092
Mehra PS, Doja MN, Alam B. Fuzzy based enhanced cluster head selection (FBECS) for WSN. Journal of King Saud University - Science. 2020;32(1):390–401. Available from: https://doi.org/10.1016/j.jksus.2018.04.031
Karabekir B, Aydin MA, Zaim AH. Energy-Efficient Clustering-Based Mobile Routing Algorithm For Wireless Sensor Networks. Electrica. 2021;21(1):41–49. Available from: https://doi.org/10.5152/electrica.2021.20035
Sivakumar P, Radhika MP. Performance Analysis of LEACH-GA over LEACH and LEACH-C in WSN. Procedia Computer Science. 2018;125:248–256. Available from: https://doi.org/10.1016/j.procs.2017.12.034
Ahmed MM, Pothalaiah S, Rao DS. Real-time monitoring of partially stable slopes for Landslide prediction by using Wireless Sensor Networks. 2016 Online International Conference on Green Engineering and Technologies (IC-GET). 2016;p. 17–18. Available from: http://hobbydocbox.com/Radio/82416359-2016-online-international-conference-on-green-engineering-and-technologies-ic-get-2016.html
Subramani N, Mohan P, Alotaibi Y, Alghamdi S, Khalaf OI. An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks. Sensors. 2022;22(2):415. Available from: https://doi.org/10.3390/s22020415
Jasim AA, Idris MYI, Azzuhri SRB, Issa NR, Rahman MT, Khyasudeen MFB. Energy-Efficient Wireless Sensor Network with an Unequal Clustering Protocol Based on a Balanced Energy Method (EEUCB) Sensors. 2021;21(3):784. Available from: https://doi.org/10.3390/s21030784
Jibreel F, Gbolagade KA, Daabo MI. Servant-LEACH Energy Efficient Cluster-Based Routing Protocol for Large Scale Wireless Sensor Network. International Journal of Engineering Research and Technology. 2020;9(05). Available from: http://doi.org/ 10.17577/IJERTV9IS050170
Arshad M. A three-tier cluster-based routing protocol for mobile wireless sensor networks. Indian Journal of Science and Technology. 2020;13(33):3409–3424. Available from: https://doi.org/10.17485/IJST/v13i33.951
Kendall G. AI methods simulated annealing. Nottingham University thesis
Rere LMR, Fanany MI, Arymurthy AM. Simulated Annealing Algorithm for Deep Learning. Procedia Computer Science. 2015;72:137–144. Available from: https://doi.org/10.1016/j.procs.2015.12.114
Ahmad SJ, Ahmed MM, Unissa I. Optimization of Environmental Data to Improve Safety in Coal Mine using Wireless Sensor Networks. Indian Journal of Science and Technology. 2022;15(19):956–964. Available from: https://doi.org/10.17485/IJST/v15i19.686

Copyright

© 2023 Chekuri & Bhandari. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)