Sooty Tern Optimized K-Means Clustering Via Wireless Sensor Network for Energy Consumption

International Journal of Computer Science and Engineering

© 2022 by SSRG - IJCSE Journal

Volume 9 Issue 10

Year of Publication : 2022

Authors : R. Surendiran

10.14445/23488387/IJCSE-V9I10P101

How to Cite?

R. Surendiran, "Sooty Tern Optimized K-Means Clustering Via Wireless Sensor Network for Energy Consumption," SSRG International Journal of Computer Science and Engineering , vol. 9,  no. 10, pp. 1-8, 2022. Crossref, https://doi.org/10.14445/23488387/IJCSE-V9I10P101

Abstract:

A wireless sensor network (WSN) is a group of specialized transducers with a communications system for observing and documenting conditions in various places. However, large amounts of energy consumption, less network lifetime, malicious attacks, and a limited range of batteries are the critical issues associated with WSN, which results in inappropriate routing, delay in packet arrivals and delivery, imbalanced energy conservation, and so on. Consequently, these issues cannot be resolved reliably. In this research work, a novel Sooty tern-optimized K-means clustering (STO) algorithm was proposed. Initially, the sensor nodes (SN) are initialized to increase the network's lifetime and node density to consume less energy consumption. These sensor nodes are clustered via Fuzzy K-means clustering, and the STO algorithm makes CH selection. Hence, the energy consumption, network lifetime, residual energy, number of alive nodes and throughput are the evaluation metrics used to assess the proposed STO approach. This scheme is simulated by using MATLAB 2019. A comparison is made between the proposed STO and existing algorithms such as SCBRP, MPOTFEM, and GSA in terms of energy consumption, network lifetime, residual energy, and throughput. The proposed STO algorithm enhances energy efficiency by 20.7%, 23.65%, 29.65%, and 42.65% better than the traditional frameworks

Keywords:

Wireless Sensor Network, Cluster Head, Sooty Tern Optimization.

References:

[1] M.S. Nidhya et al., "A Detection of Malicious Nodes in HCCT Model for Wireless Sensor Network," Annals of the Romanian Society for Cell Biology, vol. 25, no. 5, pp. 1570-1579, 2021.
[Google Scholar] [Publisher Link]
[2] Thi-Kien Dao et al., "Identification Failure Data for Cluster Heads Aggregation in WSN based on Improving Classification of SVM," IEEE Access, vol. 8, pp. 61070-61084, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Lu Fan, "A Short Study of the Components and Applications of Wireless Sensor Network," Big Data and Computing Visions, vol. 2, no. 2, pp. 101-106, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Pascal Muam, Wona Skalna, and Tomasz Pełech-Pilichowski, "Wireless Sensor Networks and Internet of Things for E-Services Applied Natural Language Processing and Deep Learning," Research Square, pp. 1-12, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Bhargavi Dalal, and Sampada Kukarni, Wireless Sensor Networks: Applications. In Wireless Sensor Networks-Design, Deployment and Applications, IntechOpen, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Maizatul Akmal Ibrahim, and Norkhushaini Awang, “An Improvement of Resource Consumption in Wireless Sensor Network (WSN) using Compressive Sensing,” Malaysian Journal of Computing , vol. 7, no. 1, pp. 1036-1046, 2022.
[Google Scholar] [Publisher Link]
[7] Sanjeev Kimothi et al., "Intelligent Energy and Ecosystem for Real-Time Monitoring of Glaciers," Computers and Electrical Engineering, vol. 102, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Amsale Zelalem Bayih et al., “Utilization of Internet of Things and Wireless Sensor Networks for Sustainable Smallholder Agriculture,” Sensors, vol. 22, no. 9, p. 3273, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Amina Khan, Sumeet Gupta, and Sachin Kumar Gupta, "Emerging UAV Technology for Disaster Detection, Mitigation, Response, and Preparedness," Journal of Field Robotics, vol. 39, no. 6, pp. 905-955, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Muhammad Zia Ul Haq et al., "An adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks," Sensors, vol. 22, no. 8, p. 2855, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Puneet Kaur et al., "Early Forest Fire Detection Using a Protocol for Energy-Efficient Clustering with Weighted-Based Optimization in Wireless Sensor Networks," Applied Sciences, vol. 13, no. 5, p. 3048, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Bandi Rambabu, A. Venugopal Reddy, and Sengathir Janakiraman, "Hybrid Artificial Bee Colony and Monarchy Butterfly Optimization Algorithm (HABC-MBOA)-based Cluster Head Selection for WSNs," Journal of King Saud University-Computer and Information Sciences, vol. 34, no. 5, pp.1895-1905, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Amin Shahraki et al., "Clustering Objectives in Wireless Sensor Networks: A Survey and Research Direction Analysis," Computer Networks, vol. 180, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Huarui Wu et al., “Fault-Tolerant Topology of Agricultural Wireless Sensor Networks Based on a Double Price Function,” Agronomy, vol. 12, no. 4, p. 837, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Sumit Kumar et al., "Comparative Study on Ant Colony Optimization (ACO) and K-Means Clustering Approaches for Jobs Scheduling and Energy Optimization Model in Internet of Things (IoT)," Reunir Repositorio Digital, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Sennan Sankar et al., "Energy-Efficient Cluster-Based Routing Protocol in Internet of Things Using Swarm Intelligence," IEEE Symposium Series on Computational Intelligence, pp. 219-224, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Movva Pavani, and Polipalli Trinatha Raa, "Adaptive PSO with Optimised Firefly Algorithms for Secure Cluster‐Based Routing in Wireless Sensor Networks," IET Wireless Sensor Systems, vol. 9, no. 5, pp. 274-283, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Indra Kumar Shah, Tanmoy Maity, and Yogendra Singh Dohare, “Algorithm for Energy Consumption Minimisation in Wireless Sensor Network,” IET Communications, vol. 14, no. 8, pp. 1301-1310, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Jun Zhang et al., "The Optimal Game Model of Energy Consumption for Nodes Cooperation in WSN," Journal of Ambient Intelligence and Humanized Computing, vol. 11, pp. 589-599, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Sengathir Janakiraman et al., "A Markov Process-Based Opportunistic Trust Factor 130 Estimation Mechanism for Efficient Cluster Head Selection and Extending the Lifetime of Wireless Sensor Networks," EAI Endorsed Transactions on Energy Web, vol. 8, no. 35, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[21] A. Kavitha, Koppala Guravaiah, and R. Leela Velusamy, "A Cluster-Based Routing Strategy Using Gravitational Search Algorithm for WSN," Journal of Computing Science and Engineering, vol. 14, no. 1, pp. 26-39, 2020.
[Google Scholar] [Publisher Link]
[22] Jay Kumar Jain, "A Coherent Approach for Dynamic Cluster-Based Routing and Coverage Hole Detection and Recovery in Bi-layered WSN-IoT," Wireless Personal Communications, vol. 114, no. 1, pp. 519-543, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[23] B.Srinivasa Rao, and S.Vellusamy Raddy, "A Hard K-Means Clustering Techniques for Information Retrieval from Search Engine," SSRG International Journal of Computer Science and Engineering, vol. 4, no. 2, pp. 4-7, 2017.
[CrossRef] [Publisher Link]
[24] Haga Elliman, "Determinants of Energy Consumption in Saudi Arabia and its Role in Decreasing the Misuse of Environmental Resources," SSRG International Journal of Economics and Management Studies, vol. 7, no. 3, pp. 46-56, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Pritam Kawade, Rahul Gaikwad, and Aniket Shelke, "Analysis of Energy Consumption Using Sleep and Awake Mechanism in MANETs," SSRG International Journal of Computer Science and Engineering, vol. 1, no. 2, pp. 1-4, 2014.
[CrossRef] [Google Scholar] [Publisher Link]