A Review on Energy Efficient Clustering Algorithms for IOT Application
DOI:
https://doi.org/10.24113/ijoscience.v7i4.388Keywords:
Wireless Sensor Network, Clustering Algorithm, Leach Protocol, IoT, Energy EfficiencyAbstract
A large range of applications in different areas are available in wireless sensor networks (WSNs). The Internet of Things (IoT), which allows connections between various objects or devices through the internet, was one of the most recent emerging applications. However, as opposed to mobile ad-hoc networks, WSNs have a greater concern for battery capacity, which affects the network’s durability. Therefore, numerous studies have focused on reducing the WSN’s energy use. One of the many approaches to minimizing the energy of the WSNs is to design a hierarchical clustering algorithm. In this paper, an algorithm for IoT applications is presented that is based on energy-efficient clustering and the cluster head election process
Downloads
References
Ihsan Ullah, Hee Yong Youn, “Effcient data aggregation with node clustering and extreme learning machine for WSN”, The Journal of Supercomputing, Springer, 2020.
S. Radhika, P. Rangarajan, “On improving the lifespan of wireless sensor networks with fuzzy based clustering and machine learning based data reduction”, Applied Soft Computing Journal, 2019, 83.
K. Manzoor, S. H. Jokhio, T. J. S. Khanzada and I. A. Jokhio, “Enhanced TL-LEACH routing protocol for large-scale WSN applications”, Cybersecurity and Cyberforensics Conference (CCC), Melbourne, Australia, 2019, pp. 35-39.
I. Banerjee and P. Madhumathy, “An Agent Cluster Based Routing Protocol for Enhancing Lifetime of Wireless Sensor Network”, International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), Bangalore, India, 2019, pp. 265-268.
Trupti Mayee Behera, Umesh Chandra Samal, Sushanta Kumar Mohapatra, “Energy-efficient modified LEACH protocol for IoT application”, IET Wireless Sensor Systems, 2018, pp. 1-6.
M. Razzaq, D. Devi Ningombam and S. Shin, “Energy efficient K-means clustering-based routing protocol for WSN using optimal packet size”, International Conference on Information Networking (ICOIN), Chiang Mai, 2018, pp. 632-635.
W. Wibisono, T. Ahmad and R. Anggoro, “Position-Based Scheme for Multi-Hop Routing Protocol in Cluster-Based Wireless Sensor Networks”, International Conference on Wireless and Telematics (ICWT), Nusa Dua, 2018, pp. 1-6.
Abidoye, A.P., Obagbuwa, I.C.: ‘Models for integrating wireless sensor networks into the Internet of things’, IET Wirel. Sens. Syst., 2017, 7, (3), pp. 65–72.
Wu, W., Xiong, N., Wu, C.: ‘Improved clustering algorithm based on energy consumption in wireless sensor networks’, IET Netw., 2017, 6, (3), pp. 47–53.
Peng Li, Wanyuan Jiang, He Xu1,Wei Liu, “Energy Optimization Algorithm of Wireless Sensor Networks based on LEACH-B”, Springer, 2017.
Kandpal, R., Singh, R.: ‘Improving lifetime of wireless sensor networks by mitigating correlated data using LEACH protocol’. 2016 1st India Int. Conf. on Information Processing (IICIP), Delhi, India, 2016, pp. 1–6.
Siavoshi, S., Kavian, Y.S., Sharif, H.: ‘Load-balanced energy efficient clustering protocol for wireless sensor networks’, IET Wirel. Sens Syst., 2016, 6, (3), pp. 67–73.
Sasikala, A.S.D., Sangameswaran, N., Aravindh, P., et al.: ‘Improving the energy efficiency of LEACH protocol using VCH in wireless sensor network’, Int. J. Eng. Dev. Res., 2015, 3, (2), pp. 918–924.
Mahapatra, R.P., Yadav, R.K.: ‘Descendant of LEACH based routing protocols in wireless sensor networks’, Procedia Comput. Sci., 2015, 57, pp.1005–1014.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Roshnee Adlak, Pooja Meena
This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
