Soliman Soliman Deabes, A., Mikheal, M., Ibraheem Eid, E., Mohamed, H. (2023). Study of Clustering Technique Algorithms in IoT Networks. test, 52(4), 63-71. doi: 10.21608/erjsh.2023.212411.1171
Ahmed Gamal Soliman Soliman Deabes; Michael Nasief Mikheal; Esraa Mosleh Ibraheem Eid; Hala Abdelkader Mohamed. "Study of Clustering Technique Algorithms in IoT Networks". test, 52, 4, 2023, 63-71. doi: 10.21608/erjsh.2023.212411.1171
Soliman Soliman Deabes, A., Mikheal, M., Ibraheem Eid, E., Mohamed, H. (2023). 'Study of Clustering Technique Algorithms in IoT Networks', test, 52(4), pp. 63-71. doi: 10.21608/erjsh.2023.212411.1171
Soliman Soliman Deabes, A., Mikheal, M., Ibraheem Eid, E., Mohamed, H. Study of Clustering Technique Algorithms in IoT Networks. test, 2023; 52(4): 63-71. doi: 10.21608/erjsh.2023.212411.1171

Study of Clustering Technique Algorithms in IoT Networks

Engineering Research Journal (Shoubra)
Volume 52, Issue 4, October 2023, Pages 63-71    PDF (1.22 M)
Document Type: Research articles
DOI: 10.21608/erjsh.2023.212411.1171
Authors
Ahmed Gamal Soliman Soliman Deabes* 1, 2; Michael Nasief Mikheal3; Esraa Mosleh Ibraheem Eid3; Hala Abdelkader Mohamed3
1Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt
2Modern University for Technology and Information
3Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt.
Abstract
The Internet of Things (IoT) refers to a network of interconnected devices that operate on the internet facilitating seamless and efficient data exchange to improve human life. Energy consumption in the IoT network nodes is a major challenge. To overcome this challenge, clustering became a powerful data gathering in IoT applications that saves energy by organizing IoT nodes into clusters. The Cluster Head (CH) oversees all Cluster Member (CM) nodes in each group allowing for the creation of both intra-cluster and inter-cluster connections. There are many algorithms to improve the lifespan of the network, increase the number of active nodes, and extend the remaining energy time in IoT. These algorithms employ techniques such as clustering and optimization to enhance both the energy efficiency and overall performance of the network. In this paper, Low Energy Adaptive Clustering Hierarchy (LEACH), Genetic Algorithm (GA), Artificial Fish Swarm Algorithm (AFSA), Energy-Efficient Routing using Reinforcement Learning (EER-RL), and Modified Low Energy Adaptive Clustering Hierarchy (MODLEACH) algorithms will be studied and MATLAB code will be implemented, tested, and the results will be validated.
Keywords
The Internet of Things; Cluster Head; Energy; Cluster Member
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