Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISIE.2010.5637779
Title: Fuzzy C-means clustering protocol for Wireless Sensor Networks
Authors: Hoang, D.C.
Kumar, R. 
Panda, S.K. 
Keywords: Clustering
Fuzzy C-means
Hierarchical routing
Wireless Sensor Networks
Issue Date: 2010
Source: Hoang, D.C.,Kumar, R.,Panda, S.K. (2010). Fuzzy C-means clustering protocol for Wireless Sensor Networks. IEEE International Symposium on Industrial Electronics : 3477-3482. ScholarBank@NUS Repository. https://doi.org/10.1109/ISIE.2010.5637779
Abstract: Hierarchical or cluster based routing methods are well-known techniques with special advantages related to scalability and efficient communication. Clustering technique is also utilized as an energy-efficient routing in Wireless Sensor Networks where the nodes with the highest residual energy can be used to gather data and send the information. In this paper, we proposed and analyzed a cluster based protocol using Fuzzy C-Means (FCM) method. A comparison among FCM, K-Means clustering, LEACH and MTE has been done. Simulation result shows that FCM protocol can reduce energy consumption and improve the network lifetime. © 2010 IEEE.
Source Title: IEEE International Symposium on Industrial Electronics
URI: http://scholarbank.nus.edu.sg/handle/10635/70405
ISBN: 9781424463916
DOI: 10.1109/ISIE.2010.5637779
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