Energy-Based Cluster Head Selection in WSN
Keywords:
Energy Consumption, Clustering; Routing, AODVAbstract
Wireless Sensor Networks (WSN) are the collection of sensor nodes, deployed in an ad hoc fashion and mostly powered by batteries. Therefore, efficient energy utilization has remained a vital parameter in designing and developing of WSNs to extend the network lifetime. In any network, routing protocols operate for selecting routes for the transfer of data packets from source to destination. Ad Hoc On-Demand Distance Vector (AODV) is a routing protocol used in various wireless ad hoc networks for transmitting data from source node to destination through intermediate motes. Hence, the efficient path selection mechanism can significantly improve energy utilization and elongate the lifetime of the network. This paper provides an investigation using the AODV routing protocol, based on the Cluster Head (CH) selection mechanism and shortest path selection between a source node, CH, and sink using multi-hop communication. The proposed scenarios significantly reduce energy consumption by selecting the shortest path between the source, cluster head, and sink. The Matlab simulation results show the comparison between AODV and Cluster head-based AODV (CH-AODV), indicating the CH-AODV consumes much less energy compared to normal AODV protocol.
References
S. Khan, M. Adnan, Matiullah, S. Shakir, and F. K. Khalil, “Energy Efficient Cluster Head Selection Approach In Wireless Sensor Network”, [Online]. Available: https://www.webology.org/data-cms/articles/20220206050844pmwebology 18 (4) - 62 .pdf
“Optimal Path Selection Using Dijkstra’s Algorithm in Cluster-based LEACH Protocol | Request PDF.” Accessed: Jul. 11, 2024. [Online]. Available: https://www.researchgate.net/publication/316877066_Optimal_Path_Selection_Using_Dijkstra%27s_Algorithm_in_Cluster-based_LEACH_Protocol
R. M. Garimella, D. R. Edla, and V. Kuppili, “Energy Efficient Design of Wireless Sensor Network: Clustering,” Int. J. Eng. Technol., vol. 7, no. 4.5, pp. 207–209, Sep. 2018, doi: 10.14419/IJET.V7I4.5.20046.
A. Rashid, F. Khan, T. Gul, S. Khan, and F. K. Khalil, “Improving Energy Conservation in Wireless Sensor Network Using Energy Harvesting System,” Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 1, pp. 354–361, 2018, doi: 10.14569/IJACSA.2018.090149.
Q. Yu, N. An, T. Wang, S. Leng, and Y. Mao, “AODV-ECA: Energy-efficient AODV routing protocol using cellular automata in wireless sensor networks,” 2013 Int. Conf. Commun. Circuits Syst. ICCCAS 2013, vol. 2, pp. 29–33, 2013, doi: 10.1109/ICCCAS.2013.6765279.
A. C. Shaziya Tabassum, Sapna Choudhary, “Multi-Hop Clustering Approach for Energy Utilization in Wireless Sensor Network,” Int. J. Eng. Innov. Technol., vol. 5, no. 8, pp. 31–35.
M. Ezhilarasi and V. Krishnaveni, “An Optimal Solution to Minimize the Energy Consumption in Wireless Sensor Networks”.
“IMPROVEMENTS IN ROUTING ALGORITHMS TO ENHANCE LIFETIME OF WIRELESS SENSOR NETWORKS.” Accessed: Jul. 11, 2024. [Online]. Available: https://aircconline.com/ijcnc/V10N2/10218cnc03.pdf
L. Wu, L. Nie, B. Liu, J. Cui, and N. Xiong, “An Energy-balanced Cluster Head Selection Method for Clustering Routing in WSN,” pp. 115–125, 2018, [Online]. Available: https://jit.ndhu.edu.tw/article/view/1631
M. Tay and A. Senturk, “A New Energy-Aware Cluster Head Selection Algorithm for Wireless Sensor Networks,” Wirel. Pers. Commun., vol. 122, no. 3, pp. 2235–2251, Feb. 2022, doi: 10.1007/S11277-021-08990-3/METRICS.
M. Rami Reddy, M. L. Ravi Chandra, P. Venkatramana, and R. Dilli, “Energy-Efficient Cluster Head Selection in Wireless Sensor Networks Using an Improved Grey Wolf Optimization Algorithm,” Comput. 2023, Vol. 12, Page 35, vol. 12, no. 2, p. 35, Feb. 2023, doi: 10.3390/COMPUTERS12020035.
S. Gurumoorthy, P. Subhash, R. Pérez de Prado, and M. Wozniak, “Optimal Cluster Head Selection in WSN with Convolutional Neural Network-Based Energy Level Prediction,” Sensors 2022, Vol. 22, Page 9921, vol. 22, no. 24, p. 9921, Dec. 2022, doi: 10.3390/S22249921.
J. John and P. Rodrigues, “A survey of energy-aware cluster head selection techniques in wireless sensor network,” Evol. Intell., vol. 15, no. 2, pp. 1109–1121, Jun. 2022, doi: 10.1007/S12065-019-00308-4/METRICS.
S. Qiu, J. Zhao, X. Zhang, A. Li, Y. Wang, and F. Chen, “Cluster Head Selection Method for Edge Computing WSN Based on Improved Sparrow Search Algorithm,” Sensors 2023, Vol. 23, Page 7572, vol. 23, no. 17, p. 7572, Aug. 2023, doi: 10.3390/S23177572.
![](https://journal.50sea.com/public/journals/1/submission_939_939_coverImage_en_US.jpg)
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 50SEA
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.