Smart City Gnosys

Smart city article details

Title	Accessing The Performance Of K-Medoid, K-Means And Fcm Clustering Techniques For Wireless Sensor Networks
ID_Doc	5994
Authors	Thiyagarajan N.; Shanmugasundaram N.
Year	2024
Published	INDISCON 2024 - 5th IEEE India Council International Subsections Conference: Science, Technology and Society
DOI	http://dx.doi.org/10.1109/INDISCON62179.2024.10744273
Abstract	The real-time data collection and monitoring process demands Wireless Sensor Networks (WSNs) as a pivotal technology that employs randomly distributed battery-operated sensor modules to facilitate seamless data transmission from remote and often hostile environments. The versatility of WSNs extends across various domains, including monitoring of smart cities. By harnessing the power of WSNs, we can optimise processes, enhance productivity, and mitigate risks more effectively. Clustering is the widely discussed concrete part of the energy mitigating process. We wish to evaluate the clustering in WSN with the Fuzzy C-Means Clustering, K-medoid clustering, and K-means. The clustering process was analysed with the estimation of the silhouette score. In order to assess their performance, numerous simulations are conducted in the MATLAB environment. Furthermore, we discussed their mean silhouette score, clustering ability for different scenarios in WSN. © 2024 IEEE.
Author Keywords	Clustering; FCM; K-means; K-Medoids; WSN

Similar Articles

Id	Similarity	Authors	Title	Published
40714	0.905	Sambo D.W.; Yenke B.O.; Förster A.; Dayang P.	Optimized Clustering Algorithms For Large Wireless Sensor Networks: A Review	Sensors (Switzerland), 19, 2 (2019)
913	0.892	Nedham W.B.; Al-Qurabat A.K.M.	A Comprehensive Review Of Clustering Approaches For Energy Efficiency In Wireless Sensor Networks	International Journal of Computer Applications in Technology, 72, 2 (2023)
40804	0.877	Sunil G.; Tuteja G.; Nasra P.; Abbas H.M.	Optimizing Energy-Efficient Clustering Algorithms For Prolonged Lifetime In Wsn-Iot Deployments	2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025 (2025)
27577	0.876	Hussein A.A.; Abdulrazzak H.N.	Fuzzy C-Means Clustering Approach For Green Iot In Smart Cities	2024 3rd International Conference on Power, Control and Computing Technologies, ICPC2T 2024 (2024)
14818	0.865	Jasmine Xavier A.; Suthanthira Vanitha N.; Sudha G.; Birunda M.	Combined Localization And Clustering Approach For Reduced Energy Presumption In Heterogeneous Iot	Physica Scripta, 99, 7 (2024)
29744	0.865	Aleem A.; Thumma R.	Hybrid Energy-Efficient Clustering With Reinforcement Learning For Iot-Wsns Using Knapsack And K-Means	IEEE Sensors Journal (2025)
35434	0.861	Srivastava A.; Mishra P.K.	Load-Balanced Cluster Head Selection Enhancing Network Lifetime In Wsn Using Hybrid Approach For Iot Applications	Journal of Sensors, 2023 (2023)
18460	0.86	Alabdeli H.	Design And Development Of A Prolonged Network Lifetime Clustering Approach For Wireless Sensor Networks Using The Spider Monkey Optimization	Lecture Notes in Networks and Systems, 1306 LNNS (2025)
14502	0.859	Nidhya M.S.; Gurumoorthi E.; Babu M.; Charumathi A.C.; Naved M.; Maram B.	Cluster Head Selection Algorithm Using Machine Learning	4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025 - Proceedings (2025)
15297	0.857	Mahmoud A.A.; Al-Mahdi H.; Ali A.F.; Abd El Salam K.; Elgohary R.	Comprehensive Analysis Of Data Collection Approaches In Wireless Sensor Networks	Lecture Notes on Data Engineering and Communications Technologies, 220 (2024)